{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T16:37:28Z","timestamp":1784997448431,"version":"3.55.0"},"reference-count":415,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"European Union Horizon-CL4-2021 Research and Innovation Program","award":["101070181 (TALON)"],"award-info":[{"award-number":["101070181 (TALON)"]}]},{"name":"NDS Discipline Development Fund at the School of Computer Science and Statistics, Trinity College Dublin"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Commun. Surv. Tutorials"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/comst.2024.3430368","type":"journal-article","created":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T17:46:04Z","timestamp":1721324764000},"page":"1238-1292","source":"Crossref","is-referenced-by-count":236,"title":["A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2343-0850","authenticated-orcid":false,"given":"Ons","family":"Aouedi","sequence":"first","affiliation":[{"name":"SnT, SIGCOM, University of Luxembourg, Luxembourg City, Luxembourg"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5559-6695","authenticated-orcid":false,"given":"Thai-Hoc","family":"Vu","sequence":"additional","affiliation":[{"name":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2835-5455","authenticated-orcid":false,"given":"Alessio","family":"Sacco","sequence":"additional","affiliation":[{"name":"DAUIN, Politecnico di Torino, Turin, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8092-6756","authenticated-orcid":false,"given":"Dinh C.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4350-0254","authenticated-orcid":false,"given":"Kandaraj","family":"Piamrat","sequence":"additional","affiliation":[{"name":"Nantes University, &#x00C9;cole Centrale Nantes, CNRS, INRIA, LS2N, UMR 6004, Nantes, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3588-9367","authenticated-orcid":false,"given":"Guido","family":"Marchetto","sequence":"additional","affiliation":[{"name":"DAUIN, Politecnico di Torino, Turin, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9485-9216","authenticated-orcid":false,"given":"Quoc-Viet","family":"Pham","sequence":"additional","affiliation":[{"name":"School of Computer Science and Statistics, Trinity College Dublin, The University of Dublin, Dublin 2, Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20936-9_5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICBAIE52039.2021.9390061"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MeditCom55741.2022.9928621"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16344-9_12"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2683200"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2988293"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2893866"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2020.101921"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3126811"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3073036"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2988367"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3018170"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2916717"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3051414"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3045115"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3317242"},{"key":"ref18","volume-title":"Artificial Intelligence a Modern Approach","author":"Russell","year":"2010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa8415"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/fi14020044"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref22","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref23","volume-title":"Introduction to Reinforcement Learning","volume":"135","author":"Sutton","year":"1998"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3215669"},{"key":"ref25","article-title":"Autonomy and intelligence in the computing continuum: Challenges, enablers, and future directions for orchestration","author":"Kokkonen","year":"2022","journal-title":"arXiv:2205.01423"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3075439"},{"key":"ref27","article-title":"Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey","author":"Le","year":"2023","journal-title":"arXiv:2310.10549"},{"key":"ref28","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref29","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"Kone\u010dn\u00fd","year":"2016","journal-title":"arXiv:1610.02527"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3156642"},{"key":"ref32","article-title":"Multi-participant multi-class vertical federated learning","author":"Feng","year":"2020","journal-title":"arXiv:2001.11154"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2988525"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2844341"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3324151"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3104633"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2023.101750"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.001.2300229"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2444095"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ITECHA.2017.8101902"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom.2017.8210813"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom.2016.7749469"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobicase.2014.257786"},{"key":"ref44","first-page":"3995","article-title":"Deep convolutional neural networks on multichannel time series for human activity recognition","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell. (ICAI)","author":"Yang"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8037349"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3149337"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/s16010115"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhsa.2017.03.023"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3185673"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488681"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/MDM52706.2021.00056"},{"key":"ref52","article-title":"Semi-supervised federated learning for activity recognition","author":"Zhao","year":"2020","journal-title":"arXiv:2011.00851"},{"key":"ref53","article-title":"Personalized semi-supervised federated learning for human activity recognition","author":"Bettini","year":"2021","journal-title":"arXiv:2104.08094"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/OJCS.2020.2993259"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3389\/frcmn.2021.657653"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109929"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009328"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2020.2987975"},{"key":"ref59","article-title":"Coronavirus (COVID-19) classification using CT images by machine learning methods","author":"Barstugan","year":"2020","journal-title":"arXiv:2003.09424"},{"key":"ref60","doi-asserted-by":"crossref","DOI":"10.1101\/2020.03.12.20027185","volume-title":"Deep learning-based detection for COVID-19 from chest CT using weak label","author":"Zheng","year":"2020"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-021-00984-y"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.59275\/j.melba.2020-48g7"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-020-00865-4"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2020.05.003"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107330"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000704"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3056185"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-74761-9_10"},{"key":"ref69","first-page":"168","article-title":"COVID-19 prediction and detection using deep learning","volume":"12","author":"Alazab","year":"2020","journal-title":"Int. J. Comput. Inf. Syst. Ind. Manage. Appl."},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3041178"},{"key":"ref71","volume-title":"Literature Review on Smart Grid Cyber Security","volume":"650","author":"Baumeister","year":"2010"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2018.03.089"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3029943"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991067"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3050172"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1177\/1550147720919698"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3095506"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/BigComp51126.2021.00039"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.psep.2019.11.014"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000684"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc6030072"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.3390\/w12123399"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030558"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ISKE.2017.8258814"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2022.153311"},{"key":"ref86","article-title":"Federated learning for IoUT: Concepts, applications, challenges and opportunities","author":"Victor","year":"2022","journal-title":"arXiv:2207.13976"},{"key":"ref87","article-title":"Federated meta learning enhanced acoustic radio cooperative framework for ocean of things underwater acoustic communications","author":"Zhao","year":"2021","journal-title":"arXiv:2105.13296"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1186\/s40327-015-0027-1"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2225618"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2368-8"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2913588"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2018.02.026"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.01.005"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1007\/s12243-019-00731-9"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3178808"},{"key":"ref96","volume-title":"The growth of electric vehicles","year":"2023"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2014.2374993"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013587"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2603536"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2998072"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3205596"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1177\/0361198118796939"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.102967"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/CDC42340.2020.9304005"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1007\/s41019-020-00151-z"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.11.002"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-014-5453-0"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065721300011"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.3390\/s20020421"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2935504"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref112","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"Li","year":"2017","journal-title":"arXiv:1707.01926"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2963722"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5477"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916778"},{"key":"ref117","article-title":"Crowd flow prediction by deep spatio-temporal transfer learning","author":"Wang","year":"2018","journal-title":"arXiv:1802.00386"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2991401"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3157056"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3055283"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2622180"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2793186"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2756872"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2021.100257"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01508-6"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-95204-8_42"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.3390\/info11040202"},{"key":"ref128","first-page":"18","article-title":"Machine learning techniques for smart manufacturing: Applications and challenges in industry 4.0","volume":"29","author":"Bajic","year":"2018","journal-title":"Int. J. Ind. Eng. Manag."},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/CYBERI.2016.7438633"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2018.10204"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2018.10.002"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2019.02.001"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2968951"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3032165"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3007817"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2974555"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1016\/j.addma.2021.102449"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1145\/3565973"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1109\/SSRR56537.2022.10018712"},{"key":"ref140","first-page":"740","article-title":"My house, my rules: Learning tidying preferences with graph neural networks","volume-title":"Proc. Conf. Robot Learn.","author":"Kapelyukh"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2019.8832393"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2976321"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2931179"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001277"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001502"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-022-09704-1"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2023.100684"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1007\/s11235-019-00599-z"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/DSC55868.2022.00014"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1145\/3652891"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450066"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3172213"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3193989"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC51644.2023.10060485"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1016\/j.csi.2022.103672"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3148690"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3260867"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3222880"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3232111"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/SIoT.2014.10"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-023-09754-z"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1002\/sec.1259"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2996214"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3041049"},{"key":"ref165","volume-title":"Security Evaluation Standard For IoT Platforms v1. 1 (SESIP)","author":"Platform","year":"2021"},{"key":"ref166","volume-title":"Common Criteria for Information Technology Security Evaluation","year":"2002"},{"key":"ref167","volume-title":"802.11 Security","author":"Potter","year":"2002"},{"key":"ref168","volume-title":"Current challenges of implementing ETSI EN 303 645 as a baseline security standard for consumer IoT security certification","author":"K\u00f6rner","year":"2023"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3109886"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3067354"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2957404"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT45670.2019.8944565"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA51647.2021.00013"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3229892"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3313443"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP52413.2021.00059"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-019-03021-2"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2677520"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2021.102768"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3012452"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/MITP.2020.3031358"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3153519"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3085960"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3149376"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3050599"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1145\/3491202"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3246439"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIS50930.2021.9396007"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/IoTDI49375.2020.00034"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1109\/I-SMAC55078.2022.9987278"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-020-04089-9"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1109\/SmartIoT49966.2020.00038"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3164081"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3204991"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3154039"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108426"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1109\/OJCAS.2020.3009520"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom54947.2022.9982756"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1109\/MITP.2021.3072535"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2022.100588"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN53446.2022.9687197"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/4401809"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102482"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2022.102677"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3164715"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3049818"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3149764"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.35833\/MPCE.2020.000827"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3199305"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2924486"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2952635"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3130291"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2022.3198098"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2022.04.036"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS52077.2021.00071"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3060878"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3163502"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500698"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2022.100263"},{"key":"ref220","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2023.108651"},{"key":"ref221","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9839042"},{"key":"ref222","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC53001.2021.9631384"},{"key":"ref223","article-title":"Segmented federated learning for adaptive intrusion detection system","author":"Shingi","year":"2021","journal-title":"arXiv:2107.00881"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.1109\/ICET49382.2020.9119607"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.1109\/IoTDI49375.2020.00035"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2023.103097"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2021.102866"},{"key":"ref228","doi-asserted-by":"publisher","DOI":"10.1109\/MASS52906.2021.00084"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD54268.2022.9776147"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3025755"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN54338.2022.00040"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.10.124"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3202801"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108214"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100156"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2993410"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1109\/3ICT56508.2022.9990859"},{"key":"ref238","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.003.2100273"},{"key":"ref239","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3154090"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3235201"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3079472"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.1145\/3312614.3312649"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.1109\/SP46215.2023.10179382"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD57390.2023.10323746"},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2694844"},{"key":"ref246","doi-asserted-by":"publisher","DOI":"10.1007\/s12394-010-0055-x"},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2012.12.018"},{"key":"ref248","doi-asserted-by":"publisher","DOI":"10.1002\/sec.795"},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.1109\/MCC.2016.28"},{"key":"ref250","first-page":"42","article-title":"MEDJACK: Hackers hijacking medical devices to create backdoors in hospital networks","volume-title":"Proc. Computerworld","volume":"8","author":"Storm"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1016\/j.clsr.2009.11.008"},{"key":"ref252","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-012-0939-1"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2012.02.016"},{"key":"ref254","doi-asserted-by":"publisher","DOI":"10.13052\/jcsm2245-1439.342"},{"key":"ref255","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2015.2446492"},{"key":"ref256","doi-asserted-by":"publisher","DOI":"10.1109\/LCNW.2015.7365945"},{"key":"ref257","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT.2015.7131862"},{"key":"ref258","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2017.05.131"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-018-1193-x"},{"key":"ref260","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2020.102670"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2876971"},{"key":"ref262","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3150004"},{"key":"ref263","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00323-1"},{"key":"ref264","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-10933-3"},{"key":"ref265","doi-asserted-by":"publisher","DOI":"10.1109\/ICTKE.2012.6408566"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2009.04.009"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2014.11.008"},{"key":"ref268","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2005.31"},{"key":"ref269","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.107"},{"key":"ref270","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2010.145"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2008.315"},{"key":"ref272","doi-asserted-by":"publisher","DOI":"10.1002\/sec.527"},{"key":"ref273","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2006.1639682"},{"key":"ref274","volume":"2","author":"Ross","year":"1996","journal-title":"Stochastic Processes"},{"key":"ref275","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-1759-6_34"},{"key":"ref276","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2014.2318296"},{"key":"ref277","doi-asserted-by":"publisher","DOI":"10.1145\/2480730.2480737"},{"key":"ref278","doi-asserted-by":"publisher","DOI":"10.1145\/1352533.1352547"},{"key":"ref279","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.08.044"},{"key":"ref280","doi-asserted-by":"publisher","DOI":"10.1109\/ICNP.2007.4375862"},{"key":"ref281","doi-asserted-by":"publisher","DOI":"10.1109\/WiMob.2009.24"},{"key":"ref282","doi-asserted-by":"publisher","DOI":"10.3390\/s16070957"},{"key":"ref283","doi-asserted-by":"publisher","DOI":"10.1002\/wcm.698"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2009.5168923"},{"key":"ref285","volume-title":"A Channel Model-Final Report","author":"Molisch","year":"2004"},{"key":"ref286","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2010.75"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2010.101210.100731"},{"key":"ref288","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2012.6503136"},{"key":"ref289","doi-asserted-by":"publisher","DOI":"10.1109\/ICRCICN.2016.7813548"},{"key":"ref290","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2005.12.003"},{"key":"ref291","doi-asserted-by":"publisher","DOI":"10.21236\/ADA465464"},{"key":"ref292","doi-asserted-by":"publisher","DOI":"10.1109\/SECURECOMM.2005.16"},{"key":"ref293","doi-asserted-by":"publisher","DOI":"10.1109\/ICISA.2010.5480564"},{"key":"ref294","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2004.1311934"},{"key":"ref295","first-page":"267","article-title":"The secret sharer: Evaluating and testing unintended Memorization in neural networks","volume-title":"Proc. 28th USENIX Secur. Symp. (Security)","author":"Carlini"},{"key":"ref296","first-page":"1469","article-title":"Attacks on deidentification\u2019s defenses","volume-title":"Proc. 31st USENIX Secur. Symp. (Security)","author":"Cohen"},{"key":"ref297","first-page":"901","article-title":"On k-anonymity and the curse of dimensionality","volume-title":"Proc. VLDB","volume":"5","author":"Aggarwal"},{"key":"ref298","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2009.47"},{"key":"ref299","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"ref300","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2017.11"},{"key":"ref301","first-page":"1039","article-title":"Visor: Privacy-preserving video analytics as a cloud service","volume-title":"Proc. 29th USENIX Conf. Security Symp.","author":"Poddar"},{"key":"ref302","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref303","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459413"},{"key":"ref304","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00530"},{"key":"ref305","article-title":"Differentially private imaging via latent space manipulation","author":"Li","year":"2021","journal-title":"arXiv:2103.05472"},{"key":"ref306","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2005.65"},{"key":"ref307","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-012-1207-9"},{"key":"ref308","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2020-0073"},{"key":"ref309","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210008"},{"key":"ref310","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17138-4_6"},{"key":"ref311","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371856"},{"key":"ref312","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00031"},{"key":"ref313","doi-asserted-by":"publisher","DOI":"10.1145\/3490237"},{"key":"ref314","doi-asserted-by":"publisher","DOI":"10.1515\/popets-2016-0047"},{"issue":"1","key":"ref315","first-page":"4704","article-title":"Minimax filter: Learning to preserve privacy from inference attacks","volume":"18","author":"Hamm","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref316","article-title":"Learning differentially private recurrent language models","author":"McMahan","year":"2017","journal-title":"arXiv:1710.06963"},{"key":"ref317","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref318","article-title":"A survey on vertical federated learning: From a layered perspective","author":"Yang","year":"2023","journal-title":"arXiv:2304.01829"},{"key":"ref319","article-title":"Feature reconstruction attacks and countermeasures of DNN training in vertical federated learning","author":"Ye","year":"2022","journal-title":"arXiv:2210.06771"},{"key":"ref320","first-page":"1","article-title":"Differentially private meta-learning","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Li"},{"key":"ref321","first-page":"7564","article-title":"cpSGD: Communication-efficient and differentially-private distributed SGD","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"31","author":"Agarwal"},{"key":"ref322","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2977383"},{"key":"ref323","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2013.01.010"},{"key":"ref324","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2016.7568488"},{"key":"ref325","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2016.8"},{"key":"ref326","doi-asserted-by":"publisher","DOI":"10.46586\/tches.v2021.i3.756-779"},{"key":"ref327","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3066427"},{"key":"ref328","first-page":"201","article-title":"CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Gilad-Bachrach"},{"key":"ref329","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2871204"},{"key":"ref330","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148979"},{"key":"ref331","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.10.024"},{"key":"ref332","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134056"},{"key":"ref333","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465894"},{"key":"ref334","doi-asserted-by":"publisher","DOI":"10.1145\/2382196.2382280"},{"key":"ref335","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49896-5_26"},{"key":"ref336","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2288131"},{"key":"ref337","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29011-4_29"},{"key":"ref338","doi-asserted-by":"publisher","DOI":"10.3233\/JCS-150540"},{"key":"ref339","article-title":"Machine learning classification over encrypted data","author":"Bost","year":"2014"},{"key":"ref340","first-page":"4961","article-title":"CRYPTEN: Secure multi-party computation meets machine learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Knott"},{"key":"ref341","first-page":"1","article-title":"SMPAI: Secure multi-party computation for federated learning","volume-title":"Proc. Workshop Robust AI Financ. Serv.","author":"Mugunthan"},{"key":"ref342","first-page":"1","article-title":"Distributed learning without distress: Privacy-preserving empirical risk minimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"31","author":"Jayaraman"},{"key":"ref343","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029829"},{"key":"ref344","doi-asserted-by":"publisher","DOI":"10.1145\/3383455.3422562"},{"key":"ref345","doi-asserted-by":"publisher","DOI":"10.1145\/3196494.3196522"},{"key":"ref346","first-page":"1651","article-title":"GAZELLE: A low latency framework for secure neural network inference","volume-title":"Proc. 27th USENIX Secur. Symp. (USENIX Security)","author":"Juvekar"},{"key":"ref347","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid49817.2020.00-52"},{"key":"ref348","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid51090.2021.00101"},{"key":"ref349","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref350","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"ref351","doi-asserted-by":"publisher","DOI":"10.1504\/IJKWI.2016.078712"},{"key":"ref352","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737510"},{"key":"ref353","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.61"},{"key":"ref354","doi-asserted-by":"publisher","DOI":"10.1145\/2983644"},{"key":"ref355","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2636090"},{"key":"ref356","doi-asserted-by":"publisher","DOI":"10.1109\/SP40000.2020.00097"},{"key":"ref357","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1387"},{"key":"ref358","first-page":"499","article-title":"Android permissions remystified: A field study on contextual integrity","volume-title":"Proc. 24th USENIX Security Symp. (USENIX Security)","author":"Wijesekera"},{"key":"ref359","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.25"},{"key":"ref360","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2018.03367733"},{"key":"ref361","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.398"},{"key":"ref362","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2855136"},{"key":"ref363","first-page":"1486","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"28","author":"Denton"},{"key":"ref364","first-page":"286","article-title":"Generating multi-label discrete patient records using generative adversarial networks","volume-title":"Proc. Mach. Learn. healthcare Conf.","author":"Choi"},{"key":"ref365","article-title":"Generating artificial data for private deep learning","author":"Triastcyn","year":"2018","journal-title":"arXiv:1803.03148"},{"key":"ref366","doi-asserted-by":"publisher","DOI":"10.14778\/3231751.3231757"},{"key":"ref367","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.440"},{"key":"ref368","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.030"},{"key":"ref369","article-title":"Defeating image obfuscation with deep learning","author":"McPherson","year":"2016","journal-title":"arXiv:1609.00408"},{"key":"ref370","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_2"},{"key":"ref371","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871535"},{"key":"ref372","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.06.028"},{"key":"ref373","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2199506"},{"key":"ref374","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978392"},{"key":"ref375","first-page":"1","article-title":"Intriguing properties of neural networks","volume-title":"Proc. 2nd Int. Conf. Learn. Represent. (ICLR)","author":"Szegedy"},{"key":"ref376","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref377","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/1897438"},{"key":"ref378","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1584"},{"key":"ref379","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5102"},{"key":"ref380","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00013"},{"key":"ref381","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2890858"},{"key":"ref382","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2018.08.014"},{"key":"ref383","article-title":"FedLab: A flexible federated learning framework","author":"Zeng","year":"2021","journal-title":"arXiv:2107.11621"},{"key":"ref384","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2901840"},{"key":"ref385","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19772-7_40"},{"key":"ref386","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-021-01605-0"},{"key":"ref387","doi-asserted-by":"publisher","DOI":"10.1145\/3431815"},{"key":"ref388","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3310794"},{"key":"ref389","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-15771-6"},{"key":"ref390","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3072611"},{"key":"ref391","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3201117"},{"key":"ref392","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3534644"},{"key":"ref393","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3144450"},{"key":"ref394","doi-asserted-by":"publisher","DOI":"10.1109\/ICSTW55395.2022.00030"},{"key":"ref395","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3156046"},{"key":"ref396","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3099953"},{"key":"ref397","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2022.3150724"},{"key":"ref398","volume-title":"How much does the Internet of Things cost?\u2014ITRex","year":"2022"},{"key":"ref399","doi-asserted-by":"publisher","DOI":"10.2991\/978-94-6463-098-5_45"},{"key":"ref400","volume-title":"Internet of Things (IoT)","author":"Dahmen-Lhuissier","year":"2023"},{"key":"ref401","doi-asserted-by":"publisher","DOI":"10.1145\/3584666"},{"key":"ref402","doi-asserted-by":"publisher","DOI":"10.1109\/CCGridW59191.2023.00018"},{"key":"ref403","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS-IoT58021.2023.00042"},{"key":"ref404","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3048793"},{"key":"ref405","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.004"},{"key":"ref406","article-title":"Learn to unlearn: A survey on machine unlearning","author":"Qu","year":"2023","journal-title":"arXiv:2305.07512"},{"key":"ref407","doi-asserted-by":"publisher","DOI":"10.1108\/978-1-80455-662-720230011"},{"key":"ref408","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3162219"},{"key":"ref409","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3241628"},{"key":"ref410","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.001.2200261"},{"key":"ref411","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.018.2100716"},{"key":"ref412","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.130.2200510"},{"key":"ref413","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116895"},{"key":"ref414","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2876857"},{"key":"ref415","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3193748"}],"container-title":["IEEE Communications Surveys &amp; Tutorials"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9739\/10981837\/10601684.pdf?arnumber=10601684","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T17:07:27Z","timestamp":1746551247000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10601684\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":415,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/comst.2024.3430368","relation":{},"ISSN":["1553-877X","2373-745X"],"issn-type":[{"value":"1553-877X","type":"electronic"},{"value":"2373-745X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}