{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:23:32Z","timestamp":1779359012157,"version":"3.51.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"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":["62102460"],"award-info":[{"award-number":["62102460"]}],"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":["62102460"],"award-info":[{"award-number":["62102460"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2023A1515012982"],"award-info":[{"award-number":["2023A1515012982"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2024A1515010161"],"award-info":[{"award-number":["2024A1515010161"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Outstanding Award under Zhujiang Talent Plan of Guangdong Province"},{"name":"National Science Foundation","award":["CNS-1751075"],"award-info":[{"award-number":["CNS-1751075"]}]},{"name":"National Science Foundation","award":["CNS-2106891"],"award-info":[{"award-number":["CNS-2106891"]}]},{"name":"National Science Foundation","award":["CNS-2312761"],"award-info":[{"award-number":["CNS-2312761"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Networking"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tnet.2024.3422264","type":"journal-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T19:27:27Z","timestamp":1721071647000},"page":"4207-4221","source":"Crossref","is-referenced-by-count":6,"title":["How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3450-1018","authenticated-orcid":false,"given":"Yichen","family":"Ruan","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0751-2773","authenticated-orcid":false,"given":"Xiaoxi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0785-9291","authenticated-orcid":false,"given":"Carlee","family":"Joe-Wong","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Operational Support Systems","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/APWiMob.2016.7811442"},{"key":"ref3","article-title":"How to backdoor federated learning","author":"Bagdasaryan","year":"2018","journal-title":"arXiv:1807.00459"},{"key":"ref4","article-title":"Towards federated learning at scale: System design","author":"Bonawitz","year":"2019","journal-title":"arXiv:1902.01046"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2018.01.007"},{"key":"ref6","article-title":"A joint learning and communications framework for federated learning over wireless networks","author":"Chen","year":"2019","journal-title":"arXiv:1909.07972"},{"key":"ref7","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","author":"Cho","year":"2020","journal-title":"arXiv:2010.01243"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/jsait.2021.3103770"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3151670"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0898-1221(97)00204-6"},{"key":"ref11","article-title":"Face recognition vendor test (FRVT) part 3: Demographic effects","author":"Grother","year":"2019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/VTS-APWCS.2019.8851649"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413764"},{"key":"ref15","article-title":"Federated learning: Strategies for improving communication efficiency","author":"Kone\u010dn\u00fd","year":"2016","journal-title":"arXiv:1610.05492"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3139457"},{"key":"ref17","article-title":"On the convergence of FedAvg on non-IID data","author":"Li","year":"2019","journal-title":"arXiv:1907.02189"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2942190"},{"key":"ref19","volume-title":"Knapsack Problems: Algorithms and Computer Implementations","author":"Martello","year":"1990"},{"key":"ref20","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2016","journal-title":"arXiv:1602.05629"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1175\/JTECH-D-11-00103.1"},{"key":"ref22","article-title":"Byzantine-robust federated machine learning through adaptive model averaging","author":"Mu\u00f1oz-Gonz\u00e1lez","year":"2019","journal-title":"arXiv:1909.05125"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref24","article-title":"A crowdsourcing framework for on-device federated learning","author":"Pandey","year":"2019","journal-title":"arXiv:1911.01046"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00010"},{"issue":"3","key":"ref26","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/0047-259X(84)90036-8","article-title":"The rate of convergence of the least squares estimator in a non-linear regression model with dependent errors","volume":"14","author":"Rao","year":"1984","journal-title":"J. Multivariate Anal."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20785"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/WiOpt52861.2021.9589776"},{"key":"ref29","first-page":"3403","article-title":"Towards flexible device participation in federated learning","volume-title":"Proc. Int. Conf. Artif. Intell. Stat. (AISTATS)","author":"Ruan"},{"key":"ref30","article-title":"Federated optimization in heterogeneous networks","author":"Li","year":"2018","journal-title":"arXiv:1812.06127"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2956472"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40276-0_15"},{"key":"ref33","first-page":"4424","article-title":"Federated multi-task learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Smith"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3378679.3394533"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155372"},{"key":"ref36","article-title":"Overcoming noisy and irrelevant data in federated learning","author":"Tuor","year":"2020","journal-title":"arXiv:2001.08300"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412599"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155448"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref42","article-title":"Applied federated learning: Improving Google keyboard query suggestions","author":"Yang","year":"2018","journal-title":"arXiv:1812.02903"},{"key":"ref43","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018","journal-title":"arXiv:1806.00582"}],"container-title":["IEEE\/ACM Transactions on Networking"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/90\/10720541\/10597379-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/90\/10720541\/10597379.pdf?arnumber=10597379","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T04:44:55Z","timestamp":1729226695000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10597379\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":43,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnet.2024.3422264","relation":{},"ISSN":["1063-6692","1558-2566"],"issn-type":[{"value":"1063-6692","type":"print"},{"value":"1558-2566","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}