{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:38:46Z","timestamp":1774021126241,"version":"3.50.1"},"reference-count":44,"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":["72072114"],"award-info":[{"award-number":["72072114"]}],"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":["72471139"],"award-info":[{"award-number":["72471139"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Research Grants Council (RGC) General Research Fund Project","award":["11213124"],"award-info":[{"award-number":["11213124"]}]},{"name":"Hong Kong RGC Collaborative Research Fund Project","award":["C1049-24GF"],"award-info":[{"award-number":["C1049-24GF"]}]},{"name":"Hong Kong Innovation and Technology Support Programme (ITC) Innovation and Technology Fund Project","award":["ITS\/034\/22MS"],"award-info":[{"award-number":["ITS\/034\/22MS"]}]},{"DOI":"10.13039\/501100018537","name":"Shenzhen\u2013Hong Kong\u2013Macau Science and Technology Category C Project","doi-asserted-by":"publisher","award":["SGDX20220530111205037"],"award-info":[{"award-number":["SGDX20220530111205037"]}],"id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tase.2025.3613954","type":"journal-article","created":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T17:36:02Z","timestamp":1758735362000},"page":"21525-21540","source":"Crossref","is-referenced-by-count":2,"title":["Privacy-Preserving Distributed Fault Diagnosis for Multiple Wind Farms Using a Federated Feature Fusion Method"],"prefix":"10.1109","volume":"22","author":[{"given":"Zhijun","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6496-4461","authenticated-orcid":false,"given":"Yanting","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2717-5033","authenticated-orcid":false,"given":"Zijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Data Science, City University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6026-9755","authenticated-orcid":false,"given":"Ershun","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resconrec.2021.105959"},{"key":"ref2","volume-title":"Global Wind Report","year":"2023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2022.3171691"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2020.08.021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3222396"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119891"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3090702"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3167467"},{"key":"ref9","article-title":"Recent advances on federated learning: A systematic survey","author":"Liu","year":"2023","journal-title":"arXiv:2301.01299"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2022.3195524"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3339750"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.2751"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106679"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.111529"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2023.3273272"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3270354"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3387417"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.129639"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599345"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00465"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3353920"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3340745"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.098"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref25","article-title":"On the convergence of FedAvg on non-IID data","author":"Li","year":"2019","journal-title":"arXiv:1907.02189"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3510756"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2024.3367766"},{"key":"ref28","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","volume":"119","author":"Karimireddy"},{"key":"ref29","article-title":"FedCos: A scene-adaptive federated optimization enhancement for performance improvement","author":"Zhang","year":"2022","journal-title":"arXiv:2204.03174"},{"key":"ref30","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00360"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108459"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3186614"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/110"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref37","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/acda55"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912072"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2012.6426691"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015693"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46128-1_50"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICSSE52999.2021.9538492"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2023.113026"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8856\/10839176\/11177535.pdf?arnumber=11177535","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T04:37:42Z","timestamp":1759379862000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11177535\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tase.2025.3613954","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}