{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T13:19:53Z","timestamp":1771075193395,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2021YFB2700900"],"award-info":[{"award-number":["2021YFB2700900"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376074"],"award-info":[{"award-number":["62376074"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["KJZD20231023095959002"],"award-info":[{"award-number":["KJZD20231023095959002"]}]},{"name":"Shenzhen Science and Technology Program","award":["SGDX20230116091244004"],"award-info":[{"award-number":["SGDX20230116091244004"]}]},{"name":"Shenzhen Science and Technology Program","award":["KJZD20230923114405011"],"award-info":[{"award-number":["KJZD20230923114405011"]}]},{"name":"Shenzhen Science and Technology Program","award":["JSGGKQTD20221101115655027"],"award-info":[{"award-number":["JSGGKQTD20221101115655027"]}]},{"name":"Shenzhen Science and Technology Program","award":["KCXST20221021111404010"],"award-info":[{"award-number":["KCXST20221021111404010"]}]},{"name":"Shenzhen Science and Technology Program","award":["JSGG20220831103400002"],"award-info":[{"award-number":["JSGG20220831103400002"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["HIT.OCEF.2024047"],"award-info":[{"award-number":["HIT.OCEF.2024047"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004806","name":"Fok Ying Tong Education Foundation","doi-asserted-by":"publisher","award":["171058"],"award-info":[{"award-number":["171058"]}],"id":[{"id":"10.13039\/501100004806","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Cloud Technology Endowed Professorship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tmc.2024.3521443","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T19:41:07Z","timestamp":1734982867000},"page":"3826-3843","source":"Crossref","is-referenced-by-count":2,"title":["Blockchain Assisted Trust Management for Data-Parallel Distributed Learning"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7631-5242","authenticated-orcid":false,"given":"Yuxiao","family":"Song","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3820-8128","authenticated-orcid":false,"given":"Daojing","family":"He","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9396-5781","authenticated-orcid":false,"given":"Minghui","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Donghua University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8524-229X","authenticated-orcid":false,"given":"Sammy","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9208-5336","authenticated-orcid":false,"given":"Kim-Kwang Raymond","family":"Choo","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8972-8094","authenticated-orcid":false,"given":"Mohsen","family":"Guizani","sequence":"additional","affiliation":[{"name":"Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3141392"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3190308"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3271367"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3377454"},{"key":"ref5","first-page":"380","article-title":"A data parallel approach for distributed neural networks to achieve faster convergence","volume-title":"Proc. 16th Int. Conf. Mach. Vis.","author":"Nagaraju"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/J.ENG.2016.02.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3204535"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3310094"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3125091"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3117696"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3140080"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2022.3179727"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3065672"},{"key":"ref14","first-page":"64","article-title":"Optimality and approximation with policy gradient methods in Markov decision processes","volume-title":"Proc. 33rd Conf. Learn. Theory","author":"Agarwal"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.12794\/metadc1505267"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3123165"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3007817"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2024.101107"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3357827"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3232603"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.hcc.2021.100046"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3171926"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3361089"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC49033.2022.9700624"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3220779"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3160425"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3153068"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3274119"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3240992"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3574159"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3075706"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2014.2369033"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3077276"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS47876.2019.00042"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.2980255"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2019.2952332"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.2991326"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2012.2218595"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2022.09.008"},{"key":"ref41","first-page":"21394","article-title":"Personalized federated learning with Moreau envelopes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Dinh"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2836144"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/10949650\/10812900.pdf?arnumber=10812900","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T22:15:17Z","timestamp":1744064117000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10812900\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":42,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2024.3521443","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}