{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T15:12:33Z","timestamp":1785856353113,"version":"3.56.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271345"],"award-info":[{"award-number":["62271345"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306211"],"award-info":[{"award-number":["62306211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62301356"],"award-info":[{"award-number":["62301356"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Joint Fund of Ministry of Education for Equipment Pre-Research","award":["8091B032254"],"award-info":[{"award-number":["8091B032254"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tce.2023.3330943","type":"journal-article","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T18:58:09Z","timestamp":1699469889000},"page":"4266-4276","source":"Crossref","is-referenced-by-count":27,"title":["Federated Offline Reinforcement Learning With Multimodal Data"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2303-9613","authenticated-orcid":false,"given":"Jiabao","family":"Wen","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1654-9589","authenticated-orcid":false,"given":"Huiao","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2817-7396","authenticated-orcid":false,"given":"Jingyi","family":"He","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8207-3921","authenticated-orcid":false,"given":"Meng","family":"Xi","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4058-8120","authenticated-orcid":false,"given":"Shuai","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2558-552X","authenticated-orcid":false,"given":"Jiachen","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2021.3079855"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2013.2295069"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2020.2987433"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500561"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/s21248363"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900301"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2902574"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2016.7564647"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s21051924"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2017.2654365"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2018.8406834"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.21261"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s22249865"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.23919\/CCC52363.2021.9549416"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2873577"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/EuCNC.2017.7980645"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2022.108782"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/687"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2019.2903351"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2018.2880338"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2017.014777"},{"key":"ref22","first-page":"1232","article-title":"Large scale distributed deep networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Dean"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3025995"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-12-821343-8.00010-1"},{"key":"ref26","first-page":"1","article-title":"Imitating human behaviour with diffusion models","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Pearce"},{"key":"ref27","first-page":"1","article-title":"Offline reinforcement learning with implicit Q-learning","volume-title":"Proc. 10th Int. Conf. Learn. Represent.","author":"Kostrikov"},{"key":"ref28","first-page":"20132","article-title":"A minimalist approach to offline reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Fujimoto"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.01.067"},{"key":"ref30","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref31","first-page":"1","article-title":"On the convergence of FedAvg on non-IID data","volume-title":"Proc. 8th Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref32","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein"},{"key":"ref33","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NeurIPS","volume":"33","author":"Ho"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2023.3279993"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.2.18893.74727"},{"key":"ref36","first-page":"27730","article-title":"Training language models to follow instructions with human feedback","volume-title":"Proc. NeurIPS","volume":"35","author":"Ouyang"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3097203"},{"key":"ref38","first-page":"2052","article-title":"Off-policy deep reinforcement learning without exploration","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Fujimoto"},{"key":"ref39","first-page":"1179","article-title":"Conservative Q-learning for offline reinforcement learning","volume-title":"Proc. NeurIPS","volume":"33","author":"Kumar"},{"key":"ref40","first-page":"15084","article-title":"Decision transformer: Reinforcement learning via sequence modeling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Chen"},{"key":"ref41","first-page":"1","article-title":"Continuous control with deep reinforcement learning","volume-title":"Proc. 4th Int. Conf. Learn. Represent.","author":"Lillicrap"},{"key":"ref42","first-page":"1","article-title":"Diffusion policies as an expressive policy class for offline reinforcement learning","volume-title":"Proc. 11th Int. Conf. Learn. Represent","author":"Wang"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref44","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Haarnoja"},{"key":"ref45","article-title":"D4RL: Datasets for deep data-driven reinforcement learning","author":"Fu","year":"2020","journal-title":"arXiv:2004.07219"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/30\/10510045\/10312760.pdf?arnumber=10312760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T18:25:16Z","timestamp":1739298316000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10312760\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":45,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tce.2023.3330943","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}