{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T15:51:48Z","timestamp":1781193108953,"version":"3.54.1"},"reference-count":40,"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":[{"name":"Science and Technology Planning Project of Guangxi Province","award":["AA23062073"],"award-info":[{"award-number":["AA23062073"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52172383"],"award-info":[{"award-number":["52172383"]}],"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":["52394262"],"award-info":[{"award-number":["52394262"]}],"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":["52441204"],"award-info":[{"award-number":["52441204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Joint Research and Development Project of the Yangtze River Delta Innovation and Technology Community","award":["2023CSJGG0900"],"award-info":[{"award-number":["2023CSJGG0900"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jiot.2025.3599834","type":"journal-article","created":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T19:46:41Z","timestamp":1755546401000},"page":"1-1","source":"Crossref","is-referenced-by-count":4,"title":["Fed-SecTP: A Federated Learning-Based Framework for Secure Vehicle Trajectory Prediction Using Surrounding Vehicle Data"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9463-3882","authenticated-orcid":false,"given":"Bingbing","family":"Li","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangyu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9863-8249","authenticated-orcid":false,"given":"Tianxiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3059-8335","authenticated-orcid":false,"given":"Hao","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Electronic and Electrical Engineering, University College London, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6737-1381","authenticated-orcid":false,"given":"Lu","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1553-1336","authenticated-orcid":false,"given":"Boli","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electronic and Electrical Engineering, University College London, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4958-1446","authenticated-orcid":false,"given":"Weichao","family":"Zhuang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8437-7598","authenticated-orcid":false,"given":"Guodong","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2022.3167103"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tte.2023.3346668"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104330"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tte.2023.3344881"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tte.2023.3325403"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-84713-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3510756"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3439393"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2024.3368439"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn60899.2024.10650788"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3442922"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2025.100450"},{"key":"ref13","first-page":"14885","article-title":"Adversarial backdoor attack by naturalistic data poisoning on trajectory prediction in autonomous driving","volume-title":"IEEE\/CVF Conf. Comput. Vis. Pattern Recognit","author":"Pourkeshavarz"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2025.3529615"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2024.103590"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2024.3373818"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2025.3546962"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tte.2024.3510458"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3410871"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICC52391.2025.11160909"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tnsm.2024.3394842"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/lanman58293.2023.10189424"},{"key":"ref23","first-page":"156","article-title":"Temporal convolutional networks for action segmentation and detection","volume-title":"IEEE Conf. Comput. Vis. Pattern Recognit","author":"Lea"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p16-2034"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/icc40277.2020.9149132"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2024.129643"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/int.22987"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2019.01.010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/aiiot61789.2024.10578964"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/jsan9020022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/vnc.2018.8628446"},{"key":"ref32","article-title":"Federated optimization in heterogeneous networks","author":"Li","year":"2020","journal-title":"arXiv:1812.06127"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1511.08458"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.1888"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2_4"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2020.3030072"},{"key":"ref37","article-title":"On the convergence of FedAvg on non-IID data","author":"Li","year":"2020","journal-title":"arXiv:1907.02189"},{"key":"ref38","first-page":"6357","article-title":"Ditto: Fair and robust federated learning through personalization","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref39","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","author":"Karimireddy"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2025.3546862"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/6702522\/11129034.pdf?arnumber=11129034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T04:50:19Z","timestamp":1761367819000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11129034\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3599834","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}