{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T20:09:37Z","timestamp":1778789377192,"version":"3.51.4"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"14","license":[{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018529","name":"Major Project of Basic Science (Natural Science) Research in Colleges and Universities of Jiangsu Province","doi-asserted-by":"publisher","award":["23KJA520003"],"award-info":[{"award-number":["23KJA520003"]}],"id":[{"id":"10.13039\/501100018529","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005145","name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","doi-asserted-by":"publisher","award":["SJCX24_2144"],"award-info":[{"award-number":["SJCX24_2144"]}],"id":[{"id":"10.13039\/501100005145","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,7,15]]},"DOI":"10.1109\/jiot.2025.3567098","type":"journal-article","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T13:57:39Z","timestamp":1746453459000},"page":"28348-28361","source":"Crossref","is-referenced-by-count":2,"title":["Efficient Byzantine-Robust Federated Learning Based on the Multimessage Shuffle Protocol for Consumer Internet of Things"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2636-2786","authenticated-orcid":false,"given":"Chunhua","family":"Jin","sequence":"first","affiliation":[{"name":"Faculty of Computer Software Engineering, Huaiyin Institute of Technology, Huai&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1105-6375","authenticated-orcid":false,"given":"Lulu","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Computer Software Engineering, Huaiyin Institute of Technology, Huai&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3651-5143","authenticated-orcid":false,"given":"Jiahao","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Computer Software Engineering, Huaiyin Institute of Technology, Huai&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1365-2085","authenticated-orcid":false,"given":"Jinbiao","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Computer Software Engineering, Huaiyin Institute of Technology, Huai&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8482-8157","authenticated-orcid":false,"given":"Junyi","family":"Liu","sequence":"additional","affiliation":[{"name":"Faculty of Computer Software Engineering, Huaiyin Institute of Technology, Huai&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanhua","family":"Chen","sequence":"additional","affiliation":[{"name":"Faculty of Computer Software Engineering, Huaiyin Institute of Technology, Huai&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Computer Software Engineering, Huaiyin Institute of Technology, Huai&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4067-8230","authenticated-orcid":false,"given":"Jian","family":"Weng","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Jinan University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00033"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3349490"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3382875"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3319565"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3293417"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2024.103839"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2023.103270"},{"key":"ref10","first-page":"2938","article-title":"How to backdoor federated learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Bagdasaryan"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2023.3237397"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447497"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3041185"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102028"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2020.101132"},{"key":"ref16","first-page":"1895","article-title":"Evaluating differentially private machine learning in practice","volume-title":"Proc. 28th USENIX Secur. Symp. (USENIX)","author":"Jayaraman"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2022.23054"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2024.103108"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3056991"},{"key":"ref20","article-title":"Local differential privacy for federated learning","author":"Chamikara","year":"2022","journal-title":"arXiv:2202.06053"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120167"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26951-7_22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3167434"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2024.3366225"},{"key":"ref25","first-page":"119","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst. (NIPS)","volume":"30","author":"Blanchard"},{"key":"ref26","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.csi.2021.103561"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122210"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011544"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3479149"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3264697"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3051611"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.10.026"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3314748"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417242"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2006.25"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1137\/070704277"},{"key":"ref39","article-title":"Measuring the effects of non-identical data distribution for federated visual classification","author":"Hsu","year":"2019","journal-title":"arXiv:1909.06335"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1097\/CM9.0000000000001474"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11074249\/10988626.pdf?arnumber=10988626","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T19:51:38Z","timestamp":1775159498000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10988626\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,15]]},"references-count":40,"journal-issue":{"issue":"14"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3567098","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,15]]}}}