{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T10:05:05Z","timestamp":1766138705003,"version":"3.37.3"},"reference-count":38,"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 Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1811461","12326615"],"award-info":[{"award-number":["U1811461","12326615"]}],"id":[{"id":"10.13039\/501100001809","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.2024.3405183","type":"journal-article","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T17:19:42Z","timestamp":1716571182000},"page":"5842-5851","source":"Crossref","is-referenced-by-count":1,"title":["Shuffle Private Decentralized Convex Optimization"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6684-8860","authenticated-orcid":false,"given":"Lingjie","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mathematics and Information Science, Baoji University of Arts and Sciences, Baoji, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1437-1729","authenticated-orcid":false,"given":"Hai","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mathematics, Northwest University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"365","article-title":"Optimal rates for stochastic convex optimization under tsybakov noise condition","volume-title":"Proc. 30th Int. Conf. Mach. Learn.","author":"Ramdas"},{"key":"ref2","first-page":"3821","article-title":"Stochastic convex optimization: Faster local growth implies faster global convergence","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Xu"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3357713.3384335"},{"key":"ref4","first-page":"161","article-title":"The tradeoffs of large scale learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bottou"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1137\/070704277"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00245-019-09617-7"},{"issue":"22","key":"ref8","first-page":"1","article-title":"On the generalization of stochastic gradient descent with momentum","volume":"25","author":"Ali","year":"2024","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"ref9","first-page":"685","article-title":"Deep learning with elastic averaging SGD","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","volume":"28","author":"Zhang"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00198"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015693"},{"key":"ref12","first-page":"1998","article-title":"Gradient diversity: A key ingredient for scalable distributed learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Yin"},{"key":"ref13","first-page":"1","article-title":"Local SGD converges fast and communicates little","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Stich"},{"key":"ref14","first-page":"1","article-title":"Local SGD with periodic averaging: Tighter analysis and adaptive synchronization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Haddadpour"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2985917"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1142\/S0219691323500200"},{"key":"ref17","first-page":"5809","article-title":"Fine-grained analysis of stability and generalization for stochastic gradient descent","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lei"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2021.09.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/4055950"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988195"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/090756090"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2013.53"},{"issue":"9","key":"ref24","first-page":"2436","article-title":"Discrete distribution estimation under local privacy","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","volume":"48","author":"Kairouz"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975482.151"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77883-5_16"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26951-7_22"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17653-2_13"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417242"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2024.3366225"},{"article-title":"Shuffle private stochastic convex optimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Cheu","key":"ref31"},{"key":"ref32","first-page":"1","article-title":"Sparsified SGD with memory","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Stich"},{"key":"ref33","first-page":"1","article-title":"On the convergence of fedavg on non-IID data","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"issue":"1","key":"ref34","first-page":"1","article-title":"Separating local & shuffled differential privacy via histograms","volume":"163","author":"Balcer","year":"2020","journal-title":"Inf.-Theoretic Cryptogr."},{"key":"ref35","first-page":"2521","article-title":"Shuffled model of differential privacy in federated learning","volume-title":"Proc. 24th Int. Conf. Artif. Intell. Statist.","volume":"130","author":"Girgis"},{"key":"ref36","first-page":"5201","article-title":"The distributed discrete Gaussian mechanism for federated learning with secure aggregation","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Kairouz"},{"key":"ref37","first-page":"5213","article-title":"Practical and private (deep) learning without sampling or shuffling","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Kairouz"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/10319981\/10538298.pdf?arnumber=10538298","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T04:54:31Z","timestamp":1717217671000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10538298\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/tifs.2024.3405183","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"type":"print","value":"1556-6013"},{"type":"electronic","value":"1556-6021"}],"subject":[],"published":{"date-parts":[[2024]]}}}