{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T05:13:59Z","timestamp":1768281239369,"version":"3.49.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018615","name":"Key Project of Basic Research of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20253014"],"award-info":[{"award-number":["BK20253014"]}],"id":[{"id":"10.13039\/501100018615","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Plan Projects of Jiangsu Province","award":["BE2022316"],"award-info":[{"award-number":["BE2022316"]}]},{"name":"Key Research and Development Program of the National Ministry of Science and Technology","award":["2023YFB2905603"],"award-info":[{"award-number":["2023YFB2905603"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62350710796"],"award-info":[{"award-number":["62350710796"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017045","name":"Big Data Computing Center of Southeast University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017045","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/twc.2025.3644920","type":"journal-article","created":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T18:32:30Z","timestamp":1766514750000},"page":"9062-9077","source":"Crossref","is-referenced-by-count":0,"title":["Joint Task Scheduling and Resource Allocation for Multi-Task Federated Learning Over Wireless Network"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0383-1033","authenticated-orcid":false,"given":"Haowen","family":"Sun","sequence":"first","affiliation":[{"name":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2301-7994","authenticated-orcid":false,"given":"Ming","family":"Chen","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4475-589X","authenticated-orcid":false,"given":"Zhaohui","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7991-0060","authenticated-orcid":false,"given":"Yihan","family":"Cang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9619-2814","authenticated-orcid":false,"given":"Yijin","family":"Pan","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8773-4629","authenticated-orcid":false,"given":"Kaibin","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3404811"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001277"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2023.3239189"},{"key":"ref5","article-title":"Distributed federated learning-based deep learning model for privacy MRI brain tumor detection","author":"Zhou","year":"2024","journal-title":"arXiv:2404.10026"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000430"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796818"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3042530"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118352"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3166941"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3336277"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9882277"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3201622"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348225"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3181823"},{"key":"ref19","first-page":"4427","article-title":"Federated multi-task learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Smith"},{"key":"ref20","first-page":"15434","article-title":"Federated multi-task learning under a mixture of distributions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Marfoq"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2025.3605765"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3587913"},{"key":"ref23","first-page":"374","article-title":"Towards federated learning at scale: System design","volume-title":"Proc. Int. Conf. Mach. Learn. Syst.","volume":"1","author":"Bonawitz"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC51071.2022.9771615"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2025.3589658"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3231088"},{"key":"ref27","article-title":"Multi-task over-the-air federated learning in cell-free massive MIMO systems","author":"Chen","year":"2025","journal-title":"arXiv:2501.17874"},{"key":"ref28","article-title":"On the convergence of FedAvg on non-IID data","author":"Li","year":"2019","journal-title":"arXiv:1907.02189"},{"key":"ref29","article-title":"Scheduling techniques of AI models on modern heterogeneous edge GPU\u2014A critical review","author":"Abdul Majeed","year":"2025","journal-title":"arXiv:2506.01377"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3229436"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800010110"},{"key":"ref32","volume":"3","author":"Morton","year":"1993","journal-title":"Heuristic Scheduling Systems: With Applications to Production Systems and Project Management"},{"key":"ref33","first-page":"278","article-title":"Policy invariance under reward transformations: Theory and application to reward shaping","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ng"},{"key":"ref34","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref36","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"Proc. Int. Conf. Int. Conf. Mach. Learn.","volume":"48","author":"Wang"},{"key":"ref37","article-title":"Prioritized experience replay","author":"Schaul","year":"2015","journal-title":"arXiv:1511.05952"},{"key":"ref38","article-title":"Understanding federated learning from IID to non-IID dataset: An experimental study","author":"Seo","year":"2025","journal-title":"arXiv:2502.00182"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178128"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7693\/11298242\/11313771.pdf?arnumber=11313771","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:10:29Z","timestamp":1768255829000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11313771\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/twc.2025.3644920","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}