{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T22:42:42Z","timestamp":1784241762648,"version":"3.55.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["62233012"],"award-info":[{"award-number":["62233012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013088","name":"Jiangsu Provincial Qinglan Project","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100013088","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100018528","name":"Suzhou Science and Technology Programme","doi-asserted-by":"publisher","award":["SYG202106"],"award-info":[{"award-number":["SYG202106"]}],"id":[{"id":"10.13039\/501100018528","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3550635","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:41:00Z","timestamp":1741801260000},"page":"1-13","source":"Crossref","is-referenced-by-count":12,"title":["BR-MTFL: A Novel Byzantine Resilience-Enhanced Multitask Federated Learning Framework for High-Speed Train Fault Diagnosis"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6157-7550","authenticated-orcid":false,"given":"Junxian","family":"You","sequence":"first","affiliation":[{"name":"School of Advanced Technology, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5634-5476","authenticated-orcid":false,"given":"Rui","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Advanced Technology, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8781-4855","authenticated-orcid":false,"given":"Yifan","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Advanced Technology, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1631-5237","authenticated-orcid":false,"given":"Baoye","family":"Song","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1537-4588","authenticated-orcid":false,"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9576-7401","authenticated-orcid":false,"given":"Zidong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Brunel University of London, Uxbridge, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3452207"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3180410"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2018.2821098"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2018.2842240"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3360432"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3132051"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3067915"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3234035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3340745"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3180417"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi.2024.100007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3328073"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3328074"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3196736"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SAFEPROCESS45799.2019.9213340"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3029946"},{"key":"ref17","first-page":"4427","article-title":"Federated multi-task learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Smith"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3315050"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2024.2316160"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3210940"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110424"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi.2024.100011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3345367"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2024.2377758"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2023.2268239"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3104243"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3205714"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2023.2294991"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.3030605"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2014.2355227"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041404"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3616390.3618283"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2023.3237397"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JESTPE.2018.2794339"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2024.105900"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3098467"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3383294"},{"key":"ref38","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3630099"},{"key":"ref40","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Blanchard"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2023.3281133"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3500047"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10924277.pdf?arnumber=10924277","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:47:49Z","timestamp":1743029269000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10924277\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3550635","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}