{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:54:55Z","timestamp":1776182095332,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"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":["62401115"],"award-info":[{"award-number":["62401115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fellowship of China National Postdoctoral Program for Innovative Talents","award":["BX20230057"],"award-info":[{"award-number":["BX20230057"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["ZYGX2024XJ070"],"award-info":[{"award-number":["ZYGX2024XJ070"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tmc.2025.3566492","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T13:18:21Z","timestamp":1746191901000},"page":"9726-9742","source":"Crossref","is-referenced-by-count":6,"title":["Trusted Clustering Based Federated Learning in Edge Networks"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3019-5795","authenticated-orcid":false,"given":"Yi-Jing","family":"Liu","sequence":"first","affiliation":[{"name":"National Key Lab on Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3659-3405","authenticated-orcid":false,"given":"Long","family":"Zhang","sequence":"additional","affiliation":[{"name":"Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7079-514X","authenticated-orcid":false,"given":"Xiaoqian","family":"Li","sequence":"additional","affiliation":[{"name":"National Key Lab on Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8220-6525","authenticated-orcid":false,"given":"Hongyang","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2512-2392","authenticated-orcid":false,"given":"Gang","family":"Feng","sequence":"additional","affiliation":[{"name":"National Key Lab on Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9264-6850","authenticated-orcid":false,"given":"Shuang","family":"Qin","sequence":"additional","affiliation":[{"name":"National Key Lab on Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1252-8761","authenticated-orcid":false,"given":"Jiacheng","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computing and Data Science, Nanyang Technological University, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2024.3368753"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2300364"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3486674"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3181611"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3193499"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2024.3352814"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.015.2200461"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.005.2300481"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa8415"},{"key":"ref10","first-page":"8757","article-title":"Spectral co-distillation for personalized federated learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645425"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1504\/IJWGS.2018.095647"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2017.3421554"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-61014-1_8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2024.3381593"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2024.3361458"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978389"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwab069"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3407670"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3371501"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2022.3180932"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.015.2300107"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3418463"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2022.121714"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2874095"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-28856-x"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3222217"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3318041.3355457"},{"key":"ref29","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","author":"Cho","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2021.3135751"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3457337.3457843"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.icte.2019.08.001"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC50174.2021.9569253"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3118928"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019197911961"},{"issue":"6","key":"ref36","first-page":"782","article-title":"Mathematicians of Gaussian elimination","volume":"58","author":"Grcar","year":"2011","journal-title":"Notices AMS"},{"key":"ref37","volume-title":"Submodular Functions and Optimization","author":"Fujishige","year":"2005"},{"key":"ref38","article-title":"Submodularity in machine learning and artificial intelligence","author":"Bilmes","year":"2022"},{"key":"ref39","first-page":"847","article-title":"A generalization of submodular cover via the diminishing return property on the integer lattice","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Soma"},{"key":"ref40","article-title":"Algorithms for approximate minimization of the difference between submodular functions, with applications","author":"Iyer","year":"2012"},{"key":"ref41","article-title":"A submodular-supermodular procedure with applications to discriminative structure learning","author":"Narasimhan","year":"2012"},{"key":"ref42","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3262829"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00309"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM52122.2024.10621227"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449994"},{"key":"ref47","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11154819\/10982171.pdf?arnumber=10982171","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T19:53:18Z","timestamp":1757533998000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10982171\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":47,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3566492","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":[[2025,10]]}}}