{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T13:45:09Z","timestamp":1774964709064,"version":"3.50.1"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"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":["62476095"],"award-info":[{"award-number":["62476095"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2025A1515011525"],"award-info":[{"award-number":["2025A1515011525"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tmc.2025.3618185","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:39:50Z","timestamp":1759772390000},"page":"3583-3597","source":"Crossref","is-referenced-by-count":2,"title":["Privacy-Preserving R\u00e9nyi Layer-Wise Budget Allocation Against Gradient Leakage for Federated Learning"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4233-5385","authenticated-orcid":false,"given":"Leyu","family":"Shi","sequence":"first","affiliation":[{"name":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8925-8192","authenticated-orcid":false,"given":"Ying","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6278-120X","authenticated-orcid":false,"given":"Chong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0648-3405","authenticated-orcid":false,"given":"Siquan","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5708-9518","authenticated-orcid":false,"given":"Jiafeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4952-699X","authenticated-orcid":false,"given":"Xiping","family":"Hu","sequence":"additional","affiliation":[{"name":"Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing, Artificial Intelligence Re search Institute, Shenzhen MSU-BIT University, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3096846"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3130906"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3132056"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3089713"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00794"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00989"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3387570"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3214717"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3165268"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3176360"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3196646"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833623"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3303718"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3233190"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3163591"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3056991"},{"key":"ref18","first-page":"61","article-title":"Membership inference attack against differentially private deep learning model","volume":"11","author":"Rahman","year":"2018","journal-title":"Trans. Data Privacy"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3131175"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.29012\/jpc.723"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3233580"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3391662"},{"key":"ref23","first-page":"1707","article-title":"QSGD: Communication-efficient SGD via gradient quantization and encoding","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Alistarh","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00220"},{"key":"ref25","first-page":"1508","article-title":"TernGrad: Ternary gradients to reduce communication in distributed deep learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wen","year":"2017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3014246"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"ref28","first-page":"172","article-title":"All the cool kids, how do they fit in?: Popularity and demographic biases in recommender evaluation and effectiveness","volume-title":"Proc. Conf. Fairness Accountability Transparency","author":"Ekstrand","year":"2018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449866"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2025.3558855"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPSISA52974.2021.00002"},{"key":"ref32","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.","author":"Geiping","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.007"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD51958.2021.9643440"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3185770"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3306159"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3137321"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3994"},{"key":"ref40","first-page":"5295","article-title":"Renyi differential privacy mechanisms for posterior sampling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Geumlek","year":"2017"},{"key":"ref41","first-page":"14103","article-title":"User-specified local differential privacy in unconstrained adaptive online learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"van der Hoeven","year":"2019"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2504967"},{"key":"ref43","first-page":"89","article-title":"Tight analysis of privacy and utility tradeoff in approximate differential privacy.","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Geng","year":"2020"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3582084"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3329717"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1561\/9781638284772.ch3"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02169"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ISCTIS58954.2023.10213128"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2017.11"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3331726"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988195"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2008.4497436"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/SP54263.2024.00122"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3341301.3359639"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2024.3451187"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/SP54263.2024.00212"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3309783"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796841"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2708039"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3150363"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/csf.2014.36"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3090331"},{"key":"ref64","article-title":"Measuring the effects of non-identical data distribution for federated visual classification","author":"Hsu","year":"2019"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CSCI.2016.0225"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00981"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01952"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02352"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3343288"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11372515\/11193723.pdf?arnumber=11193723","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:11:01Z","timestamp":1770671461000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11193723\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":72,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3618185","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}