{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:29:36Z","timestamp":1780054176443,"version":"3.54.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["62371059"],"award-info":[{"award-number":["62371059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20449"],"award-info":[{"award-number":["U21A20449"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center"},{"name":"Major Key Project of PCL","award":["PCL2023AS1-3-1"],"award-info":[{"award-number":["PCL2023AS1-3-1"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for Central Universities","doi-asserted-by":"publisher","award":["2242022k60006"],"award-info":[{"award-number":["2242022k60006"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tifs.2024.3374590","type":"journal-article","created":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T19:13:46Z","timestamp":1709838826000},"page":"4070-4085","source":"Crossref","is-referenced-by-count":22,"title":["Secure and Efficient Federated Learning With Provable Performance Guarantees via Stochastic Quantization"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0404-4310","authenticated-orcid":false,"given":"Xinchen","family":"Lyu","sequence":"first","affiliation":[{"name":"National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyun","family":"Hou","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenshan","family":"Ren","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Ge","sequence":"additional","affiliation":[{"name":"Business Research Department, China Mobile Research Institute, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Penglin","family":"Yang","sequence":"additional","affiliation":[{"name":"Hygon Information Technology Company Ltd., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1720-220X","authenticated-orcid":false,"given":"Qimei","family":"Cui","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9518-1622","authenticated-orcid":false,"given":"Xiaofeng","family":"Tao","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118346"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126052"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3293417"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3138848"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3258255"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900044"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.007"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2021.12.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3306773"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/mwc.014.2200438"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_2"},{"key":"ref13","article-title":"Differentially private federated learning: A client level perspective","author":"Geyer","year":"2017","journal-title":"arXiv:1712.07557"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS51616.2021.00081"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2787987"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/int.22818"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2022.3208736"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2929409"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796841"},{"key":"ref21","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Reisizadeh"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054168"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3033286"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126081"},{"key":"ref25","first-page":"2350","article-title":"Federated learning with compression: Unified analysis and sharp guarantees","volume-title":"Proc. Int. Conf. Artif. Intell. Stat.","author":"Haddadpour"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00099"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2024789118"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/791"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2934002"},{"key":"ref31","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref32","article-title":"Variance reduced local SGD with lower communication complexity","author":"Liang","year":"2019","journal-title":"arXiv:1912.12844"},{"key":"ref33","article-title":"Federated learning with quantized global model updates","author":"Amiri","year":"2020","journal-title":"arXiv:2006.10672"},{"key":"ref34","article-title":"On large-batch training for deep learning: Generalization gap and sharp minima","author":"Keskar","year":"2016","journal-title":"arXiv:1609.04836"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00279"},{"key":"ref36","first-page":"1","article-title":"Fixup initialization: Residual learning without normalization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref37","first-page":"1","article-title":"On the convergence of Adam and beyond","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Reddi"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196894"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041388"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3179501"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3108434"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10228919"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00533"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/10319981\/10462188.pdf?arnumber=10462188","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:34:05Z","timestamp":1714761245000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10462188\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tifs.2024.3374590","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}