{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T08:16:01Z","timestamp":1772525761324,"version":"3.50.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"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":["62441203"],"award-info":[{"award-number":["62441203"]}],"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":["62311530101"],"award-info":[{"award-number":["62311530101"]}],"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":["62132006"],"award-info":[{"award-number":["62132006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"name":"AI Singapore Programme","award":["AISG2-RP-2021-027"],"award-info":[{"award-number":["AISG2-RP-2021-027"]}]},{"name":"Humanities and Social Sciences Foundation of Jiangxi Province of China","award":["JC19212"],"award-info":[{"award-number":["JC19212"]}]},{"name":"Natural Science Foundation of Jiangxi Province of China","award":["20223AEI91002"],"award-info":[{"award-number":["20223AEI91002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tii.2024.3423314","type":"journal-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T18:23:27Z","timestamp":1722277407000},"page":"12565-12574","source":"Crossref","is-referenced-by-count":11,"title":["FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0574-0743","authenticated-orcid":false,"given":"Chao","family":"Cai","sequence":"first","affiliation":[{"name":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6946-3586","authenticated-orcid":false,"given":"Yuming","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9855-4479","authenticated-orcid":false,"given":"Weide","family":"Liu","sequence":"additional","affiliation":[{"name":"Boston Children's Hospital, Harvard Medical School, Boston, MA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8248-2776","authenticated-orcid":false,"given":"Ruibing","family":"Jin","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1786-6188","authenticated-orcid":false,"given":"Jun","family":"Cheng","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1719-0328","authenticated-orcid":false,"given":"Zhenghua","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3254656"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2021.229495"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2023.233235"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3169465"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3216629"},{"key":"ref6","first-page":"5","article-title":"Federated learning: Strategies for improving communication efficiency","volume-title":"Proc. NIPS Workshop Private Multi-Party Mach. Learn.","author":"Konen","year":"2016"},{"key":"ref7","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","year":"2017"},{"key":"ref8","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang","year":"2020"},{"key":"ref9","first-page":"38461","article-title":"Preservation of the global knowledge by not-true distillation in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lee","year":"2022"},{"key":"ref10","first-page":"12878","article-title":"Data-free knowledge distillation for heterogeneous federated learning","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Zhu","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3288225"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3202832"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2999442"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32025-0_14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2017.7998311"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3167778"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2924605"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3251391"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.105746"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2022.3195524"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3264027"},{"key":"ref23","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Conf. Mach. Learn. Syst.","author":"Li","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3347782"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2023.3277332"},{"key":"ref26","first-page":"14927","article-title":"Deep evidential regression","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Amini","year":"2020"},{"key":"ref27","first-page":"6881","article-title":"Trustworthy multimodal regression with mixture of normal-inverse gamma distributions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ma","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.strusafe.2008.06.020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3319377"},{"key":"ref30","first-page":"7575","article-title":"Cpsgd: communication-efficient and differentially-private distributed SGD","author":"Agarwal","year":"2018","journal-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst."}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/10745137\/10613015.pdf?arnumber=10613015","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:04:28Z","timestamp":1732665868000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10613015\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":30,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tii.2024.3423314","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}