{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:24:25Z","timestamp":1780633465995,"version":"3.54.1"},"reference-count":426,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Zayed Center for Health Sciences","award":["12R005"],"award-info":[{"award-number":["12R005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Open J. Commun. Soc."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/ojcoms.2024.3438264","type":"journal-article","created":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T18:01:20Z","timestamp":1722880880000},"page":"4920-4998","source":"Crossref","is-referenced-by-count":62,"title":["Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2791-2347","authenticated-orcid":false,"given":"Asadullah","family":"Tariq","sequence":"first","affiliation":[{"name":"College of Information Technology, UAE University, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7001-3710","authenticated-orcid":false,"given":"Mohamed Adel","family":"Serhani","sequence":"additional","affiliation":[{"name":"College of Computing and Informatics, University of Sharjah, Sharjah, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2887-5410","authenticated-orcid":false,"given":"Farag M.","family":"Sallabi","sequence":"additional","affiliation":[{"name":"College of Information Technology, UAE University, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ezedin S.","family":"Barka","sequence":"additional","affiliation":[{"name":"College of Information Technology, UAE University, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3561-9674","authenticated-orcid":false,"given":"Tariq","family":"Qayyum","sequence":"additional","affiliation":[{"name":"College of Information Technology, UAE University, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6394-3482","authenticated-orcid":false,"given":"Heba M.","family":"Khater","sequence":"additional","affiliation":[{"name":"College of Information Technology, UAE University, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1397-0420","authenticated-orcid":false,"given":"Khaled A.","family":"Shuaib","sequence":"additional","affiliation":[{"name":"College of Information Technology, UAE University, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11023-018-9482-5"},{"key":"ref2","article-title":"The next decade in AI: four steps towards robust artificial intelligence","author":"Marcus","year":"2020","journal-title":"arXiv:2002.06177"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.13200"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-020-00650-3"},{"key":"ref5","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Stat.","volume":"54","author":"McMahan"},{"key":"ref6","volume-title":"Global federated learning market by application (drug discovery, industrial IoT, risk management), vertical (healthcare & life sciences, BFSI, manufacturing, automotive & transportation, energy & utilities), and region\u2014Forecast to 2028","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3387107"},{"key":"ref8","article-title":"Trustworthy federated learning: A survey","author":"Tariq","year":"2023","journal-title":"arXiv:2305.11537"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000397"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3101991"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2023.043684"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IIT59782.2023.10366471"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3167663"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2977383"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2023.3313257"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/09720529.2021.1880145"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3491209"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00063"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MeditCom55741.2022.9928665"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3161943"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3555803"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3546872"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3448248"},{"key":"ref25","volume-title":"Trustworthy-AI-Assessment-mitigation.","year":"2023"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0055-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20755"},{"key":"ref28","first-page":"2525","article-title":"Not all samples are created equal: Deep learning with importance sampling","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Katharopoulos"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01956"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00986"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3237032"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2983930"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.09.008"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10563-8"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2024.03.016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2967772"},{"key":"ref37","article-title":"Toward trustworthy AI development: Mechanisms for supporting verifiable claims","author":"Brundage","year":"2020","journal-title":"arXiv:2004.07213"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2022.100455"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/12460125.2020.1819094"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.005.2300467"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2024.3352910"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2022.09.012"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3222935"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2022.102966"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3152445"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3315746"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.10.013"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128019"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2024.3382002"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2011.092110.00088"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2559481"},{"key":"ref54","first-page":"1","article-title":"A probabilistic model for estimating real-valued truth from conflicting sources","volume-title":"Proc. 10th Int. Workshop Qual. Databases","author":"Zhao"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3263594"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3606017"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372834"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106043"},{"key":"ref59","article-title":"Towards interpretable federated learning","author":"Li","year":"2023","journal-title":"arXiv:2302.13473"},{"key":"ref60","article-title":"A comprehensive survey of incentive mechanism for federated learning","author":"Zeng","year":"2021","journal-title":"arXiv:2106.15406"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3063517"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3177522"},{"key":"ref63","article-title":"Incentive-driven federated learning and associated security challenges: A systematic review","author":"Ali","year":"2023","journal-title":"Authorea"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-021-06496-5"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2023.100593"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TPS-ISA50397.2020.00014"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3460427"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104468"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10271-9"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2022.3190835"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3543873.3587681"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.09.011"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107166"},{"key":"ref74","article-title":"A systematic literature review on federated learning: From a model quality perspective","author":"Liu","year":"2020","journal-title":"arXiv:2012.01973"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/792"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/3570953"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3407584"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v38i3.2741"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57959-7"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1177\/2053951716679679"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC61514.2024.10592329"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2022.103013"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.02.011"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC49033.2022.9700624"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2021.11.013"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-99584-3_36"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3200854"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.04.027"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/ICOCN55511.2022.9901284"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10228895"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2966288"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC55113.2022.9824617"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.3389\/frcmn.2021.657653"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488906"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3398398"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2023.3280406"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155414"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1145\/3501811"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557439"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500928"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/ICEIC49074.2020.9051371"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2921755"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.23919\/APNOMS.2019.8893114"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3209200"},{"key":"ref106","article-title":"Learning to detect malicious clients for robust federated learning","author":"Li","year":"2020","journal-title":"arXiv:2002.00211"},{"key":"ref107","first-page":"1","article-title":"Towards non-I.I.D. and invisible data with FedNAS: Federated deep learning via neural architecture search","volume-title":"Proc. CVPR Workshop Neural Archit. Search Beyond Represent. Learn.","author":"He"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3214308"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3178406"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ISC255366.2022.9922069"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9163027"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3146448"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2973651"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/CAMAD50429.2020.9209263"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3179272"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/5338876"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3088056"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2022.3180968"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3130116"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3215192"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3085960"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108668"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3213314"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006179"},{"key":"ref125","article-title":"Interpret federated learning with Shapley values","author":"Wang","year":"2019","journal-title":"arXiv:1905.04519"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207508"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599354"},{"key":"ref128","first-page":"1","article-title":"Profit sharing and efficiency in utility games","volume-title":"Proc. 25th Annu. Eur. Symp. Algorithms (ESA)","author":"Gollapudi"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps50303.2020.9367484"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17093"},{"key":"ref131","article-title":"Fair and efficient contribution valuation for vertical federated learning","author":"Fan","year":"2022","journal-title":"arXiv:2201.02658"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_10"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00073"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.14778\/3587136.3587141"},{"key":"ref135","first-page":"1","article-title":"Fed-XAI: Federated learning of explainable artificial intelligence models","volume-title":"Proc. 3rd Ital. Workshop Explainable Artif. Intell.","author":"B\u00e1rcena"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-220683"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2022.102474"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2320500"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2023.08.040"},{"key":"ref140","article-title":"TEFL: Turbo explainable federated learning for 6G trustworthy zero-touch network slicing","author":"Roy","year":"2022","journal-title":"arXiv:2210.10147"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-30510-8_8"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3203249"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.3390\/info13080395"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC58020.2023.10182876"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2021.103083"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3108197"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041388"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2024789118"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2956615"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3363443"},{"key":"ref151","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Reisizadeh"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3056655"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3083316"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3073112"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref156","first-page":"8253","article-title":"FetchSGD: Communication-efficient federated learning with sketching","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Rothchild"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118415"},{"key":"ref158","first-page":"3973","article-title":"FedBoost: A communication-efficient algorithm for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hamer"},{"key":"ref159","first-page":"22802","article-title":"Communication-efficient adaptive federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2023.07.039"},{"key":"ref161","doi-asserted-by":"crossref","DOI":"10.21203\/rs.3.rs-3714454\/v1","volume-title":"Balancing privacy and explainability in federated learning","author":"Teixeira","year":"2023"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2021.3114610"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.110122"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3231527"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3364363"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW53142.2021.00023"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796841"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59137-3_20"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2023.103093"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3222521"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3163791"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2023.103264"},{"key":"ref173","doi-asserted-by":"crossref","DOI":"10.1117\/12.2620598","article-title":"Evaluating explainable artificial intelligence (XAI): Algorithmic explanations for transparency and trustworthiness of ML algorithms and AI systems","volume-title":"Proc. SPIE Artif. Intell. Mach. Learn. Multi-Domain Oper. Appl. IV","author":"Khakurel"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2023.100135"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3076767"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3040887"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-022-10307-z"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-022-01078-1"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.3390\/sym14071407"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2022.3191332"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449888"},{"key":"ref182","first-page":"1","article-title":"A reputation mechanism is all you need: Collaborative fairness and adversarial robustness in federated learning","volume-title":"Proc. Int. Workshop Fed. Learn. User Privacy Data Confid. Conjunct. (ICML)","author":"Xu"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2022.3186991"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-9213-3_9"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA51294.2020.00185"},{"key":"ref186","article-title":"Mitigating sybils in federated learning poisoning","author":"Fung","year":"2018","journal-title":"arXiv:1808.04866"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1145\/3583740.3626815"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2021.3103938"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1049\/cje.2017.06.014"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3075706"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900119"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.3390\/s22207753"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1109\/WCNCW49093.2021.9420026"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12030517"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3231283"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1109\/CyberC.2019.00018"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3214998"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.2996273"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3138693"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i11.21505"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3160425"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3210950"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685388"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3138928"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2940820"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006344"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/LNET.2021.3108673"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2014.2337886"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2660461"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2019.2952332"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28166-7_1"},{"key":"ref212","article-title":"Reward systems for trustworthy medical federated learning","author":"Pandl","year":"2022","journal-title":"arXiv:2205.00470"},{"key":"ref213","article-title":"A VCG-based fair incentive mechanism for federated learning","author":"Cong","year":"2020","journal-title":"arXiv:2008.06680"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmateco.2007.05.009"},{"key":"ref215","article-title":"FedToken: Tokenized incentives for data contribution in federated learning","author":"Pandey","year":"2022","journal-title":"arXiv:2209.09775"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1145\/3472456.3472469"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2022.01.019"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375840"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3213323"},{"key":"ref220","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3062708"},{"key":"ref221","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3138693"},{"key":"ref222","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3074816"},{"key":"ref223","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2022.3183614"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108621"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488743"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3264677"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.050113.00015"},{"key":"ref228","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126081"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3354869"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCWorkshops57813.2023.10233712"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154285"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3156046"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2023.3339851"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3311824"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2956472"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3113346"},{"key":"ref238","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref239","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488818"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3211998"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000252"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3042530"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS51825.2021.9484497"},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3151193"},{"key":"ref246","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2023.109678"},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3187365"},{"key":"ref248","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3298935"},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC45663.2020.9120773"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2024.3350378"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3165596"},{"key":"ref252","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3035770"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3334691"},{"key":"ref254","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2024.3355362"},{"key":"ref255","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2021.3097705"},{"key":"ref256","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.2200214"},{"key":"ref257","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3176191"},{"key":"ref258","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2929409"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3036166"},{"key":"ref260","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148628"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2022.01.002"},{"key":"ref262","doi-asserted-by":"publisher","DOI":"10.3390\/make3020017"},{"key":"ref263","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR54900.2022.00063"},{"key":"ref264","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000604"},{"key":"ref265","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3032544"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3363256"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-022-1343-2"},{"key":"ref268","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.11.124"},{"key":"ref269","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3043139"},{"key":"ref270","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2021.3126323"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.1109\/RDAAPS48126.2021.9452005"},{"key":"ref272","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC55385.2023.10118885"},{"key":"ref273","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2021.3134463"},{"key":"ref274","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3050781"},{"key":"ref275","article-title":"BlockFLow: An accountable and privacy-preserving solution for federated learning","author":"Mugunthan","year":"2020","journal-title":"arXiv:2007.03856"},{"key":"ref276","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86162-9_23"},{"key":"ref277","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3028101"},{"key":"ref278","doi-asserted-by":"publisher","DOI":"10.1109\/BIGCOM.2019.00030"},{"key":"ref279","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3144450"},{"key":"ref280","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3330166"},{"key":"ref281","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2020.102033"},{"key":"ref282","doi-asserted-by":"publisher","DOI":"10.1017\/9781108936040.022"},{"key":"ref283","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3202887"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS47876.2019.00042"},{"key":"ref285","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3201117"},{"key":"ref286","first-page":"119","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. 31st Adv. Neural Inf. Process. Syst.","author":"Blanchard"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041404"},{"key":"ref288","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001680"},{"key":"ref289","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3205714"},{"key":"ref290","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3165869"},{"key":"ref291","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26083"},{"key":"ref292","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24434"},{"key":"ref293","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16849"},{"key":"ref294","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD55607.2022.00065"},{"key":"ref295","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000263"},{"key":"ref296","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3237367"},{"key":"ref297","first-page":"12613","article-title":"FL-WBC: Enhancing robustness against model poisoning attacks in federated learning from a client perspective","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Sun"},{"key":"ref298","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3194020"},{"key":"ref299","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3037474"},{"key":"ref300","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3128622"},{"key":"ref301","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3090446"},{"key":"ref302","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3153135"},{"key":"ref303","first-page":"1379","article-title":"Efficient differentially private secure aggregation for federated learning via hardness of learning with errors","volume-title":"Proc. 31st USENIX Secur. Symp. (USENIX Security)","author":"Stevens"},{"key":"ref304","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3054610"},{"key":"ref305","first-page":"11372","article-title":"CRFL: Certifiably robust federated learning against backdoor attacks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref306","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2935795"},{"key":"ref307","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS51616.2021.00086"},{"key":"ref308","doi-asserted-by":"publisher","DOI":"10.1145\/3488932.3517395"},{"key":"ref309","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3153519"},{"key":"ref310","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3226245"},{"key":"ref311","doi-asserted-by":"publisher","DOI":"10.3390\/math11010214"},{"key":"ref312","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3102121"},{"key":"ref313","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3168556"},{"key":"ref314","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-90567-5_24"},{"key":"ref315","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3196274"},{"key":"ref316","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322159"},{"key":"ref317","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3044223"},{"key":"ref318","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3140806"},{"key":"ref319","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2020.101954"},{"key":"ref320","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3184812"},{"key":"ref321","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10000793"},{"key":"ref322","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.01.130"},{"key":"ref323","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2974555"},{"key":"ref324","article-title":"Differential privacy-enabled federated learning for sensitive health data","author":"Choudhury","year":"2019","journal-title":"arXiv:1910.02578"},{"key":"ref325","first-page":"6003","article-title":"Differentially-private federated linear bandits","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Dubey"},{"key":"ref326","article-title":"Differentially private federated learning: A client level perspective","author":"Geyer","year":"2017","journal-title":"arXiv:1712.07557"},{"key":"ref327","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2945367"},{"key":"ref328","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761267"},{"key":"ref329","doi-asserted-by":"publisher","DOI":"10.1109\/DASC\/PiCom\/CBDCom\/Cy59711.2023.10361309"},{"key":"ref330","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3325396"},{"key":"ref331","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref332","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.3010335"},{"key":"ref333","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59410-7_33"},{"key":"ref334","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2942179"},{"key":"ref335","doi-asserted-by":"publisher","DOI":"10.1177\/1550147720919698"},{"key":"ref336","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2022.23054"},{"key":"ref337","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174426"},{"key":"ref338","doi-asserted-by":"publisher","DOI":"10.1145\/3378679.3394533"},{"key":"ref339","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6096"},{"key":"ref340","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3050163"},{"key":"ref341","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3037194"},{"key":"ref342","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005465"},{"key":"ref343","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2991416"},{"key":"ref344","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-019-00869-2"},{"key":"ref345","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3293417"},{"key":"ref346","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2022.3188292"},{"key":"ref347","doi-asserted-by":"publisher","DOI":"10.1145\/3302505.3310070"},{"key":"ref348","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2021.02.014"},{"key":"ref349","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.3006734"},{"key":"ref350","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8619133"},{"key":"ref351","article-title":"Cronus: Robust and heterogeneous collaborative learning with black-box knowledge transfer","author":"Chang","year":"2019","journal-title":"arXiv:1912.11279"},{"key":"ref352","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/769"},{"key":"ref353","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000372"},{"key":"ref354","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3052183"},{"key":"ref355","first-page":"1762","article-title":"A syntactic approach for privacy-preserving federated learning","volume-title":"Proc. ECAI","author":"Choudhury"},{"key":"ref356","article-title":"FedOBD: Opportunistic block dropout for efficiently training large-scale neural networks through federated learning","author":"Chen","year":"2022","journal-title":"arXiv:2208.05174"},{"key":"ref357","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3359998"},{"key":"ref358","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3161673"},{"key":"ref359","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120167"},{"key":"ref360","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102199"},{"key":"ref361","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242702"},{"key":"ref362","doi-asserted-by":"publisher","DOI":"10.3390\/app10082864"},{"key":"ref363","first-page":"5861","article-title":"FedNew: A communication-efficient and privacy-preserving Newton-type method for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Elgabli"},{"key":"ref364","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107235"},{"key":"ref365","article-title":"Communication-computation efficient secure aggregation for federated learning","author":"Choi","year":"2020","journal-title":"arXiv:2012.05433"},{"key":"ref366","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3056102"},{"key":"ref367","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3247859"},{"key":"ref368","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3353791"},{"key":"ref369","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2024.103407"},{"key":"ref370","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.123006"},{"key":"ref371","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3273167"},{"key":"ref372","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.132.2200530"},{"key":"ref373","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095158"},{"key":"ref374","doi-asserted-by":"publisher","DOI":"10.3390\/s23094201"},{"key":"ref375","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3283853"},{"key":"ref376","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC51323.2021.9498820"},{"key":"ref377","article-title":"Decentralized quantum federated learning for metaverse: Analysis, design and implementation","author":"Gurung","year":"2023","journal-title":"arXiv:2306.11297"},{"key":"ref378","doi-asserted-by":"publisher","DOI":"10.3390\/su15010374"},{"key":"ref379","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3288078"},{"key":"ref380","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-018-9482-6"},{"key":"ref381","doi-asserted-by":"publisher","DOI":"10.1137\/0108018"},{"key":"ref382","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2023.09.004"},{"key":"ref383","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110763"},{"key":"ref384","doi-asserted-by":"publisher","DOI":"10.3390\/math11143093"},{"key":"ref385","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3250705"},{"key":"ref386","article-title":"Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref387","volume-title":"The CIFAR-10 dataset","year":"2009"},{"key":"ref388","article-title":"COVID-CT-dataset: A CT scan dataset about COVID-19","author":"Yang","year":"2020","journal-title":"arXiv:2003.13865"},{"key":"ref389","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref390","volume-title":"IMDb movie reviews dataset","author":"Pal"},{"key":"ref391","article-title":"MedMNIST v2\u2014A large-scale lightweight benchmark for 2D and 3D biomedical image classification","author":"Yang","year":"2021","journal-title":"arXiv:2110.14795"},{"key":"ref392","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727519"},{"key":"ref393","doi-asserted-by":"publisher","DOI":"10.2118\/18761-MS"},{"key":"ref394","doi-asserted-by":"publisher","DOI":"10.1142\/9789811232701_0022"},{"key":"ref395","doi-asserted-by":"publisher","DOI":"10.1080\/00343400903497897"},{"key":"ref396","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116251"},{"key":"ref397","doi-asserted-by":"publisher","DOI":"10.4103\/2153-3539.186902"},{"key":"ref398","volume-title":"Statlog (German credit data) dataset","author":"Hofmann"},{"key":"ref399","volume-title":"The 20 Newsgroups data set","year":"2008"},{"key":"ref400","volume-title":"Mental Health in Tech Survey-Survey on Mental Health in the Tech Workplace in 2014","year":"2016"},{"key":"ref401","volume-title":"UCI Machine Learning Repository","author":"Dheeru","year":"2017"},{"key":"ref402","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.05.041"},{"key":"ref403","first-page":"21","article-title":"New generations of Internet of Things datasets for cybersecurity applications based machine learning: TON_IoT datasets","volume-title":"Proc. eRes. Austral. Conf.","author":"Moustafa"},{"key":"ref404","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966217"},{"key":"ref405","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref406","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref407","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3002988"},{"key":"ref408","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242711"},{"key":"ref409","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322592"},{"key":"ref410","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3355160"},{"key":"ref411","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3270908"},{"key":"ref412","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500632"},{"key":"ref413","doi-asserted-by":"publisher","DOI":"10.1145\/3510587"},{"key":"ref414","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3090331"},{"key":"ref415","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126052"},{"key":"ref416","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00099"},{"key":"ref417","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3099368"},{"key":"ref418","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3081746"},{"key":"ref419","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.05.137"},{"key":"ref420","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2024.3362143"},{"key":"ref421","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102028"},{"key":"ref422","doi-asserted-by":"publisher","DOI":"10.1080\/0952813X.2022.2079730"},{"key":"ref423","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2023.3309657"},{"key":"ref424","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3253853"},{"key":"ref425","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2024.3363887"},{"key":"ref426","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45041.2023.10279790"}],"container-title":["IEEE Open Journal of the Communications Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8782661\/10362961\/10623386.pdf?arnumber=10623386","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T04:33:57Z","timestamp":1725251637000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10623386\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":426,"URL":"https:\/\/doi.org\/10.1109\/ojcoms.2024.3438264","relation":{},"ISSN":["2644-125X"],"issn-type":[{"value":"2644-125X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}