{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T21:07:05Z","timestamp":1783631225006,"version":"3.55.0"},"reference-count":309,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Commun. Surv. Tutorials"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/comst.2024.3427324","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T17:48:57Z","timestamp":1720806537000},"page":"1053-1100","source":"Crossref","is-referenced-by-count":63,"title":["Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8140-1273","authenticated-orcid":false,"given":"Mai","family":"Le","sequence":"first","affiliation":[{"name":"Department of Information Convergence Engineering, Pusan National University, Busan, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9172-2935","authenticated-orcid":false,"given":"Thien","family":"Huynh-The","sequence":"additional","affiliation":[{"name":"Department of Computer and Communications Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0751-7163","authenticated-orcid":false,"given":"Tan","family":"Do-Duy","sequence":"additional","affiliation":[{"name":"Department of Computer and Communications Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam"}],"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, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8398-564X","authenticated-orcid":false,"given":"Won-Joo","family":"Hwang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Center for Artificial Intelligence Research, Pusan National University, Busan, South Korea"}],"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, Dublin 2, Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1900271"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2023.3265425"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3221119"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3071496"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3249835"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3207209"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348129"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1454-4"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3218527"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3341307"},{"key":"ref12","volume-title":"Federated learning: Collaborative machine learning without centralized training data","author":"McMahan","year":"2022"},{"key":"ref13","article-title":"Federated learning for mobile keyboard prediction","author":"Hard","year":"2018","journal-title":"arXiv:1811.03604"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3501296"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/OJCS.2020.2992630"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.011.2000501"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103320"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2988293"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3073036"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3075439"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3090430"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3030072"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3063822"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3160697"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2006.1657817"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3377454"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118346"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3156756"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3086014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3306773"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3200740"},{"key":"ref32","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref33","volume-title":"Introduction to Semi-Supervised Learning","author":"Zhu","year":"2022"},{"key":"ref34","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3013416"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2021.103141"},{"key":"ref37","first-page":"1","article-title":"Semi-supervised knowledge transfer for deep learning from private training data","volume-title":"Proc. Int. Conf. Learn. Rep.","author":"Papernot"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000530"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2023.3239189"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3133819"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3153488"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242701"},{"key":"ref44","first-page":"14068","article-title":"Group knowledge transfer: Federated learning of large CNNs at the edge","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"He"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3009406"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3161943"},{"key":"ref48","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3194198"},{"key":"ref51","first-page":"374","article-title":"Towards federated learning at scale: System design","volume-title":"Proc. Mach. Learn. Syst.","volume":"1","author":"Bonawitz"},{"key":"ref52","volume-title":"Project Fiddle\u2014Microsoft research","year":"2022"},{"key":"ref53","volume-title":"Project Florida: Federated learning made easy","year":"2023"},{"key":"ref54","volume-title":"Federated learning powered by NVIDIA Clara | NVIDIA technical blog","year":"2022"},{"key":"ref55","volume-title":"Federated learning from simulation to production with NVIDIA FLARE | NVIDIA technical blog","year":"2022"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3494322.3494353"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC49033.2022.9700579"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/HPSR57248.2023.10147920"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3065084"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3150004"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3324151"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3265689"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.05.003"},{"key":"ref64","article-title":"Detailed comparison of communication efficiency of split learning and federated learning","author":"Singh","year":"2019","journal-title":"arXiv:1909.09145"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838867"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20825"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3223498"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3143251"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.913919"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2977374"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2022.3175942"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3292075"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2023.3246107"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3292570"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50027-1"},{"key":"ref78","article-title":"An overview of multi-agent reinforcement learning from game theoretical perspective","author":"Yang","year":"2020","journal-title":"arXiv:2011.00583"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60990-0_12"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3192606"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3007787"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3188434"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3175592"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3221671"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3165472"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3221850"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2890685"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2971323"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3113872"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3078514"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3160099"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118417"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3216049"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3214075"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3106973"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2995162"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3108197"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2942190"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2919736"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3081996"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3223224"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2023.3334285"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3071210"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685654"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036968"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3223408"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3195202"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9839122"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3039271"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/MSN48538.2019.00033"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC48107.2020.9148111"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2998116"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/OJSP.2020.3036276"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3169215"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2024.3357798"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3062053"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06855-1"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/640391"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.06.015"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3023733"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM47813.2019.9020894"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920913"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3652-2"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1145\/3185504"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3128155"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3014385"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3157603"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3109058"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref131","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Karimireddy"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3178949"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2971981"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/icdcs47774.2020.00017"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500608"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.3042244"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3022661"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118432"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS54753.2022.9798301"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2999594"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3033482"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978082"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3074185"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3213411"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3221212"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.3010335"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2941244"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3127886"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3111088"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3095077"},{"key":"ref154","first-page":"1","article-title":"Edge Impulse: An MLOps platform for tiny machine learning","volume-title":"Proc. 6th MLSys Conf.","volume":"5","author":"Hymel"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1602.07360"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref157","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00098"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops53856.2022.9767250"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/IPCCC50635.2020.9391558"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-11748-0_2"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.10.026"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC55385.2023.10118601"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/SEC50012.2020.00008"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3063504"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3151670"},{"key":"ref167","first-page":"1","article-title":"SMPAI: Secure multi-party computation for federated learning","volume-title":"Proc. Neural Inf. Process. Syst. (NeurIPS)","author":"Mugunthan"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1109\/DSN-S.2019.00007"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2988667"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3006616"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1145\/3426474"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-70604-3_6"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1145\/3501813"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3211564"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103635"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.21203\/rs.3.rs-1005694\/v1"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_40"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3096127"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3171402"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1007\/s41666-020-00082-4"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.3390\/jpm12020309"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-021-01506-3"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-023-00652-2"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1016\/j.xinn.2021.100162"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_29"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00941"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1145\/2133806.2133825"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3042090"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cps.2016.0018"},{"key":"ref191","first-page":"1","article-title":"Regression-based inverter control for decentralized optimal power flow and voltage regulation","volume-title":"Proc. IEEE Power Energ. Soc. Gener. Meeting","author":"Sondermeijer"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2935711"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1109\/SEST48500.2020.9203368"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3169361"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3110784"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2903312"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3095506"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3165869"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3126883"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3061395"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3010510"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1109\/ISGTEurope.2019.8905628"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2021.3100898"},{"key":"ref204","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3072251"},{"key":"ref206","first-page":"2961","article-title":"Actor-attention-critic for multi-agent reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Iqbal"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2020.2971637"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.03.017"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.3390\/en14248270"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3221770"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1016\/j.vehcom.2021.100396"},{"key":"ref212","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit.","author":"Qi"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3023958"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3107465"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.02.024"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000552"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968399"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3142348"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3183996"},{"key":"ref220","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","volume":"2","author":"Li"},{"key":"ref221","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3017474"},{"key":"ref222","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3148872"},{"key":"ref223","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2994391"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3200401"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207663"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933962"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1007\/s43684-022-00023-5"},{"key":"ref228","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mnih"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449934"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3059644"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2021.3136027"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP52459.2021.9613173"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3123216"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3061717"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.2100253"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2254478"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2955442"},{"key":"ref238","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148776"},{"key":"ref239","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3160691"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.013.2100311"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.128.2200344"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685991"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.101.2100125"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3021006"},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3074523"},{"key":"ref246","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3056341"},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3096673"},{"key":"ref248","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3182119"},{"key":"ref249","first-page":"1","article-title":"Continuous control with deep reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lillicrap"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3063188"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3014788"},{"key":"ref252","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036962"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3094651"},{"issue":"1","key":"ref254","first-page":"7234","article-title":"Monotonic value function factorisation for deep multi-agent reinforcement learning","volume":"21","author":"Rashid","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref255","first-page":"193","article-title":"Cyber-enabled distributed machine learning for smart manufacturing systems","volume-title":"Proc. Smart Struct. NDE Energy Syst. Ind. 4.0","author":"Banadaki"},{"key":"ref256","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2017.2762285"},{"key":"ref257","doi-asserted-by":"publisher","DOI":"10.1109\/ICPS48405.2020.9274784"},{"key":"ref258","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3011726"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3088057"},{"key":"ref260","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3282899"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3125989"},{"key":"ref262","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-022-01968-3"},{"key":"ref263","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2021.103509"},{"key":"ref264","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2022.06.010"},{"key":"ref265","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-013-0864-5"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116323"},{"key":"ref268","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102202"},{"key":"ref269","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.07.015"},{"key":"ref270","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3140131"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3103062"},{"key":"ref272","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3072611"},{"key":"ref273","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3190510"},{"key":"ref274","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2022.3170150"},{"key":"ref275","article-title":"Quantum split neural network learning using cross-channel pooling","author":"Yun","year":"2022","journal-title":"arXiv:2211.06524"},{"key":"ref276","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3102139"},{"key":"ref277","article-title":"The future of fully homomorphic encryption","volume-title":"IEEE Spectrum","year":"2023"},{"key":"ref278","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3302065"},{"key":"ref279","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3198176"},{"key":"ref280","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3055679"},{"key":"ref281","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3124961"},{"key":"ref282","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3130993"},{"key":"ref283","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2978824"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3051163"},{"key":"ref285","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3183295"},{"key":"ref286","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242704"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126081"},{"key":"ref288","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3201207"},{"key":"ref289","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3274391"},{"key":"ref290","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3222717"},{"key":"ref291","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3213766"},{"key":"ref292","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105581"},{"key":"ref293","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3202047"},{"key":"ref294","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2200348"},{"key":"ref295","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3204839"},{"key":"ref296","volume-title":"An introduction to learning in the metaverse","author":"Pimentel","year":"2022"},{"key":"ref297","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2023.3254587"},{"key":"ref298","volume-title":"Generative AI overview.","year":"2023"},{"key":"ref299","volume-title":"Tiny machine learning design alleviates a bottleneck in memory usage on Internet-of-Things devices","author":"Hinkel","year":"2021"},{"key":"ref300","doi-asserted-by":"publisher","DOI":"10.1109\/mnet.2024.3353377"},{"key":"ref301","doi-asserted-by":"publisher","DOI":"10.1109\/mnet.2024.3376419"},{"key":"ref302","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.695"},{"key":"ref303","volume-title":"White paper on machine learning in 6G wireless communication networks","author":"","year":"2020"},{"key":"ref304","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2022.3190552"},{"key":"ref305","volume-title":"Presentation of specification: Summary for RAN Rel-18 package","year":"2021"},{"key":"ref306","volume-title":"Study on artificial intelligence (AI)\/machine learning (ML) for NR air interface","year":"2022"},{"key":"ref307","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3239220"},{"key":"ref308","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2022.02.001"},{"key":"ref309","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3215231"}],"container-title":["IEEE Communications Surveys &amp; Tutorials"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9739\/10981837\/10597395.pdf?arnumber=10597395","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T18:01:11Z","timestamp":1746468071000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10597395\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":309,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/comst.2024.3427324","relation":{},"ISSN":["1553-877X","2373-745X"],"issn-type":[{"value":"1553-877X","type":"electronic"},{"value":"2373-745X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}