{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T05:57:37Z","timestamp":1784872657318,"version":"3.55.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"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":["52175075"],"award-info":[{"award-number":["52175075"]}],"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":["62033001"],"award-info":[{"award-number":["62033001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Syst. Man Cybern, Syst."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tsmc.2024.3408058","type":"journal-article","created":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T20:26:05Z","timestamp":1719347165000},"page":"5704-5716","source":"Crossref","is-referenced-by-count":97,"title":["Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis"],"prefix":"10.1109","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0051-7440","authenticated-orcid":false,"given":"Quan","family":"Qian","sequence":"first","affiliation":[{"name":"State Key Laboratory of Mechanical Transmission, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4475-2338","authenticated-orcid":false,"given":"Jun","family":"Luo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical Transmission, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2160-4300","authenticated-orcid":false,"given":"Yi","family":"Qin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical Transmission, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2932000"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3151185"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3048950"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/15567036.2019.1670761"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s40436-022-00433-x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3193676"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109352"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3266942"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3243401"},{"key":"ref10","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","volume":"54","author":"McMahan"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110491"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3195355"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110846"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3376449"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.109884"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2988525"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3061204"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3232842"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3123667"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.02.042"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3217758"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00094"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.108964"},{"key":"ref25","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014","journal-title":"arXiv:1412.3474"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2023.3234142"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2953010"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110748"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2024.111544"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109186"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110692"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2022.3166977"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2023.05.012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3328074"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109246"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108885"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"ref41","first-page":"1","article-title":"How transferable are features in deep neural networks?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Yosinski"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160280102"},{"key":"ref43","first-page":"531","article-title":"Mutual information neural estimation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Belghazi"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.04.021"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/s17020425"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3071564"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.104665"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.112350"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101651"}],"container-title":["IEEE Transactions on Systems, Man, and Cybernetics: Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221021\/10639509\/10571357.pdf?arnumber=10571357","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T05:50:22Z","timestamp":1724133022000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10571357\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":49,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tsmc.2024.3408058","relation":{},"ISSN":["2168-2216","2168-2232"],"issn-type":[{"value":"2168-2216","type":"print"},{"value":"2168-2232","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}