{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:40:01Z","timestamp":1776181201860,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"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":["62122094"],"award-info":[{"award-number":["62122094"]}],"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":["62231017"],"award-info":[{"award-number":["62231017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Select. Areas Commun."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/jsac.2023.3310060","type":"journal-article","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T17:23:41Z","timestamp":1693416221000},"page":"3491-3503","source":"Crossref","is-referenced-by-count":22,"title":["Cloud-Edge-Client Collaborative Learning in Digital Twin Empowered Mobile Networks"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6827-6968","authenticated-orcid":false,"given":"Lindong","family":"Zhao","sequence":"first","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing, China"}]},{"given":"Shouxiang","family":"Ni","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2722-8676","authenticated-orcid":false,"given":"Dan","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Communications Engineering, Army Engineering University of PLA, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5099-4870","authenticated-orcid":false,"given":"Liang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3056991"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.018.2200514"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref34","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016","journal-title":"arXiv 1609 04747"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3017668"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2982679"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3090430"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3168348"},{"key":"ref31","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"2015","journal-title":"arXiv 1511 06581"},{"key":"ref30","article-title":"Deep reinforcement learning with double Q-learning","author":"van hasselt","year":"2015","journal-title":"arXiv 1509 06461 [cs]"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2022.3180883"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref10","first-page":"994","article-title":"CAFE: Catastrophic data leakage in vertical federated learning","author":"jin","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3021543"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900201"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3183465"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3010798"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2689795"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3034674"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3126207"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3087264"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3005495"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/BF02943300"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1070.0838"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2927312"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3127873"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.2986615"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-307-3.50049-6"},{"key":"ref27","first-page":"1146","article-title":"Stabilising experience replay for deep multi-agent reinforcement learning","author":"foerster","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref29","article-title":"Playing Atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"arXiv 1312 5602"},{"key":"ref8","first-page":"14774","article-title":"Deep leakage from gradients","author":"zhu","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref9","article-title":"Inverting gradients—How easy is it to break privacy in federated learning?","author":"geiping","year":"2020","journal-title":"arXiv 2003 14053"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-021-00069-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.021.2100174"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-021-00072-5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.1900587"}],"container-title":["IEEE Journal on Selected Areas in Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/49\/10297955\/10234404.pdf?arnumber=10234404","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:22:57Z","timestamp":1699903377000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10234404\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":38,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jsac.2023.3310060","relation":{},"ISSN":["0733-8716","1558-0008"],"issn-type":[{"value":"0733-8716","type":"print"},{"value":"1558-0008","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}