{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:58:01Z","timestamp":1769637481428,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,10]]},"DOI":"10.1109\/vtc2023-fall60731.2023.10333794","type":"proceedings-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T19:37:48Z","timestamp":1702323468000},"page":"1-7","source":"Crossref","is-referenced-by-count":9,"title":["FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder"],"prefix":"10.1109","author":[{"given":"Yuchen","family":"Jiang","sequence":"first","affiliation":[{"name":"Southern University of Science and Technology,Department of Computer Science and Engineering,China"}]},{"given":"Ying","family":"Wu","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Department of Computer Science and Engineering,China"}]},{"given":"Shiyao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Research Institute for Trustworthy Autonomous Systems, Southern University of Science and Technology,China"}]},{"given":"James J.Q.","family":"Yu","sequence":"additional","affiliation":[{"name":"University of York,Department of Computer Science,United Kingdom"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3440207"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3203457"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-022-02114-6"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3174204"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00163"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1536414.1536466"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3132056"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2008.29"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICISCE.2015.12"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3052840"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814250"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3241290"},{"key":"ref14","article-title":"LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection","author":"Rao","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294362"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3164877"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref18","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics","volume":"54","author":"McMahan"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3126021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2991401"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1285773"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"issue":"2","key":"ref23","first-page":"1278","article-title":"Stochastic Backpropagation and Approximate Inference in Deep Generative Models","volume-title":"Proceedings of the 31st International Conference on Machine Learning","volume":"32","author":"Rezende"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367532"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1409635.1409677"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI52525.2021.00104"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.11.021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2896985"}],"event":{"name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","location":"Hong Kong, Hong Kong","start":{"date-parts":[[2023,10,10]]},"end":{"date-parts":[[2023,10,13]]}},"container-title":["2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10333258\/10333344\/10333794.pdf?arnumber=10333794","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T02:55:16Z","timestamp":1705028116000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10333794\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,10]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/vtc2023-fall60731.2023.10333794","relation":{},"subject":[],"published":{"date-parts":[[2023,10,10]]}}}