{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:29:32Z","timestamp":1770845372683,"version":"3.50.1"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,5]]},"DOI":"10.1109\/smc58881.2025.11343159","type":"proceedings-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:54:44Z","timestamp":1769633684000},"page":"2937-2942","source":"Crossref","is-referenced-by-count":0,"title":["A Privacy-Preserving Federated Learning System for Estimated Time of Arrival Prediction of Multi-Region Vehicular Trips"],"prefix":"10.1109","author":[{"given":"Jiahui","family":"Zhai","sequence":"first","affiliation":[{"name":"Beijing University of Technology,College of Computer Science,Beijing,China,100124"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shen","family":"Wang","sequence":"additional","affiliation":[{"name":"University College Dublin,School of Computer Science,Dublin,Ireland,D04 V1W8"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3347870"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403294"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3287980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3207894"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3243088"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3364669"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53654.2022.9945124"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3559690"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3457488"},{"key":"ref10","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"Kone\u010dny","year":"2016"},{"key":"ref11","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122966"},{"key":"ref13","article-title":"Flower: A friendly federated learning research framework","author":"Beutel","year":"2020"}],"event":{"name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Vienna, Austria","start":{"date-parts":[[2025,10,5]]},"end":{"date-parts":[[2025,10,8]]}},"container-title":["2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11342430\/11342431\/11343159.pdf?arnumber=11343159","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:50:36Z","timestamp":1770843036000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11343159\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,5]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/smc58881.2025.11343159","relation":{},"subject":[],"published":{"date-parts":[[2025,10,5]]}}}