{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T14:42:00Z","timestamp":1783521720626,"version":"3.55.0"},"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372285"],"award-info":[{"award-number":["62372285"]}],"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":["62372175"],"award-info":[{"award-number":["62372175"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013105","name":"Shanghai Rising-Star Program","doi-asserted-by":"publisher","award":["22QA1403800"],"award-info":[{"award-number":["22QA1403800"]}],"id":[{"id":"10.13039\/501100013105","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Program of Shanghai Municipal Education Commission","award":["2021-01-07-00-08-E00101"],"award-info":[{"award-number":["2021-01-07-00-08-E00101"]}]},{"name":"\u201cDigital Silk Road\u201d Shanghai International Joint Laboratory of Trustworthy Intelligent Software","award":["22510750100"],"award-info":[{"award-number":["22510750100"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tifs.2025.3540312","type":"journal-article","created":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T18:29:28Z","timestamp":1739212168000},"page":"2496-2508","source":"Crossref","is-referenced-by-count":14,"title":["Lightweight and Dynamic Privacy-Preserving Federated Learning via Functional Encryption"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8001-4844","authenticated-orcid":false,"given":"Boan","family":"Yu","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6366-2763","authenticated-orcid":false,"given":"Jun","family":"Zhao","sequence":"additional","affiliation":[{"name":"Software Engineering Institute, East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9728-4051","authenticated-orcid":false,"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2281-4112","authenticated-orcid":false,"given":"Junqing","family":"Gong","sequence":"additional","affiliation":[{"name":"Software Engineering Institute, East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4920-5405","authenticated-orcid":false,"given":"Haifeng","family":"Qian","sequence":"additional","affiliation":[{"name":"Software Engineering Institute, East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60548-3_18"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_17"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_2"},{"key":"ref4","first-page":"16937","article-title":"Inverting gradients-how easy is it to break privacy in federated learning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Geiping"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17277-0_9"},{"key":"ref7","first-page":"493","article-title":"BatchCrypt}: Efficient homomorphic encryption for Cross-Silo federated learning","volume-title":"Proc. USENIX Annu. Tech. Conf. (USENIX ATC)","author":"Zhang"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref11","article-title":"Differentially private federated learning: A client level perspective","author":"Geyer","year":"2017","journal-title":"arXiv:1712.07557"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26177"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3338501.3357371"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001080"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3386357"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3255171"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19571-6_16"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2366316.2366333"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-56784-2_25"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03329-3_24"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1201\/9780429466335"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2677520"},{"key":"ref23","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","author":"Jee Cho","year":"2020","journal-title":"arXiv:2010.01243"},{"key":"ref24","article-title":"Optimal client sampling for federated learning","author":"Chen","year":"2020","journal-title":"arXiv:2010.13723"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF51394.2020.9443523"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.52591\/lxai2020071310"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref28","volume-title":"MNIST Dataset","year":"2024"},{"key":"ref29","volume-title":"CIFAR 10 Dataset","year":"2024"},{"key":"ref30","volume-title":"NSL-KDD Dataset","year":"2024"},{"key":"ref31","volume-title":"CICIoV2024 Dataset","year":"2024"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s13389-013-0057-3"},{"key":"ref33","article-title":"Mixed precision training","author":"Micikevicius","year":"2017","journal-title":"arXiv:1710.03740"},{"key":"ref34","article-title":"Highly scalable deep learning training system with mixed-precision: Training ImageNet in four minutes","author":"Jia","year":"2018","journal-title":"arXiv:1807.11205"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3338501.3357370"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2929409"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3108434"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.3005909"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/rs15205050"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3350206"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10206\/10810755\/10879043.pdf?arnumber=10879043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T18:44:14Z","timestamp":1741200254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10879043\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/tifs.2025.3540312","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}