{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T22:08:18Z","timestamp":1785190098348,"version":"3.55.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"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":["62101401"],"award-info":[{"award-number":["62101401"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Capability Support Program of Shaanxi","award":["2024RS-CXTD-01"],"award-info":[{"award-number":["2024RS-CXTD-01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tits.2024.3450726","type":"journal-article","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T18:33:12Z","timestamp":1725647592000},"page":"20378-20389","source":"Crossref","is-referenced-by-count":20,"title":["A Secure Personalized Federated Learning Algorithm for Autonomous Driving"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1966-9161","authenticated-orcid":false,"given":"Yuchuan","family":"Fu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks and the Research Institute of Smart Transportation, Xidian University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinlong","family":"Tang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks and the Research Institute of Smart Transportation, Xidian University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2568-8908","authenticated-orcid":false,"given":"Changle","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks and the Research Institute of Smart Transportation, Xidian University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1006-7594","authenticated-orcid":false,"given":"Fei Richard","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7907-2071","authenticated-orcid":false,"given":"Nan","family":"Cheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks and the Research Institute of Smart Transportation, Xidian University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900310"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3178808"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3205596"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2942179"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3081560"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3243003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3219644"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2023.3241770"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3148872"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041404"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3222521"},{"key":"ref12","article-title":"A communication efficient vertical federated learning framework","volume-title":"Scanning Electron Microsc Meet At","author":"Liu","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000252"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053834"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796865"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2994391"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITNAC55475.2022.9998360"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CAC53003.2021.9727486"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS54753.2022.9798217"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MSN57253.2022.00040"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC51071.2022.9771594"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS56603.2022.00046"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC57223.2023.10074494"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3102121"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS47774.2020.00094"},{"key":"ref27","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":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149138"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3348498"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/INOCON57975.2023.10101035"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011544"},{"key":"ref32","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","author":"Yin","year":"2018","journal-title":"arXiv:1803.01498"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2895593"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2017.2699660"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ROPEC55836.2022.10018748"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/10769775\/10669186.pdf?arnumber=10669186","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T02:54:57Z","timestamp":1733885697000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10669186\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":35,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2024.3450726","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}