{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T09:54:26Z","timestamp":1740131666031,"version":"3.37.3"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["IIS-1838124","CCF-1850743","CCF-1856424"],"award-info":[{"award-number":["IIS-1838124","CCF-1850743","CCF-1856424"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF CAREER Award","doi-asserted-by":"publisher","award":["CCF-2144593"],"award-info":[{"award-number":["CCF-2144593"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Inform. Theory"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tit.2022.3203989","type":"journal-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:18:43Z","timestamp":1662409123000},"page":"528-547","source":"Crossref","is-referenced-by-count":2,"title":["Learner-Private Convex Optimization"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6104-4742","authenticated-orcid":false,"given":"Jiaming","family":"Xu","sequence":"first","affiliation":[{"name":"The Fuqua School of Business, Duke University, Durham, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuang","family":"Xu","sequence":"additional","affiliation":[{"name":"Stanford Graduate School of Business, Stanford University, Stanford, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9460-569X","authenticated-orcid":false,"given":"Dana","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Statistics and Data Science, Cornell University, Ithaca, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"volume-title":"Federated Learning: Collaborative Machine Learning Without Centralized Training Data","year":"2017","author":"McMahan","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2019.00044"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref5","article-title":"Private sequential learning","author":"Tsitsiklis","year":"2018","journal-title":"arXiv:1805.02136"},{"key":"ref6","first-page":"2431","article-title":"Query complexity of Bayesian private learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref7","article-title":"Optimal query complexity for private sequential learning against eavesdropping","author":"Xu","year":"2019","journal-title":"arXiv:1909.09836"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134098"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref11","article-title":"Protection against reconstruction and its applications in private federated learning","author":"Bhowmick","year":"2018","journal-title":"arXiv:1812.00984"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3378679.3394533"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/80.3.489"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2008.01060.x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/0378-3758(94)00106-6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/0022-0000(89)90018-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1995.492461"},{"issue":"72","key":"ref18","first-page":"113","article-title":"A survey on private information retrieval","volume":"82","author":"Gasarch","year":"2004","journal-title":"Bull. EATCS"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IWCIT.2018.8405043"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6736861"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref22","first-page":"7564","article-title":"cpSGD: Communication-efficient and differentially-private distributed SGD","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Agarwal"},{"key":"ref23","first-page":"1","article-title":"Differentially private online learning","volume-title":"Proc. Conf. Learn. Theory","author":"Jain"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2796314.2745866"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2558168"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2017.1682"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1287\/stsy.2021.0074"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3393691.3394213"},{"key":"ref31","article-title":"Local privacy, data processing inequalities, and statistical minimax rates","author":"Duchi","year":"2013","journal-title":"arXiv:1302.3203"},{"key":"ref32","article-title":"Query complexity of Bayesian private learning","author":"Xu","year":"2019","journal-title":"arXiv:1911.06903"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3328526.3329635"},{"key":"ref34","first-page":"1498","article-title":"Best response regression","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Ben-Porat"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3328526.3329560"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1993636.1993666"},{"key":"ref37","article-title":"Competing bandits: Learning under competition","author":"Mansour","year":"2017","journal-title":"arXiv:1702.08533"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294300"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1111\/j.0006-341X.2004.00184.x"},{"volume-title":"Miles v. United States, 103 U.S. 304, 26 L. Ed. 481","year":"1881","key":"ref40"},{"volume-title":"Coffin v. United States, 156 U.S. 432, No. 741","year":"1895","key":"ref41"},{"volume-title":"Juries in criminal trials part 2","year":"2001","author":"Young","key":"ref42"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/110850827"},{"key":"ref44","first-page":"9771","article-title":"Optimal query complexity of secure stochastic convex optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Tang"},{"volume-title":"Efficient methods in convex programming","year":"1994","author":"Nemirovski","key":"ref45"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9780511804458.011"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1137\/07069729X"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1561\/9781601984616"},{"journal-title":"The Gamma Function","year":"2015","author":"Artin","key":"ref49"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1119\/1.15378"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1090\/S0025-5718-97-00807-7"}],"container-title":["IEEE Transactions on Information Theory"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/18\/9997158\/9875320-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/18\/9997158\/09875320.pdf?arnumber=9875320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:33:10Z","timestamp":1710387190000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9875320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":51,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tit.2022.3203989","relation":{},"ISSN":["0018-9448","1557-9654"],"issn-type":[{"type":"print","value":"0018-9448"},{"type":"electronic","value":"1557-9654"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}