{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T15:41:18Z","timestamp":1782834078329,"version":"3.54.5"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3586943","type":"journal-article","created":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T13:39:17Z","timestamp":1751981957000},"page":"118515-118535","source":"Crossref","is-referenced-by-count":6,"title":["Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-9281-6874","authenticated-orcid":false,"given":"Saeedeh","family":"Ghazi","sequence":"first","affiliation":[{"name":"Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2850-0616","authenticated-orcid":false,"given":"Saeed","family":"Farzi","sequence":"additional","affiliation":[{"name":"Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4628-5238","authenticated-orcid":false,"given":"Amirhossein","family":"Nikoofard","sequence":"additional","affiliation":[{"name":"Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2020.2975749"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist. PMLR","author":"McMahan"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2023.3310094"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tdsc.2024.3354736"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120167"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110663"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3056919"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1049\/cmu2.12333"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2021.3103715"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2022.3161943"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/infocom42981.2021.9488723"},{"key":"ref15","article-title":"Active federated learning","author":"Goetz","year":"2019","journal-title":"arXiv:1909.12641"},{"key":"ref16","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","volume-title":"arXiv:2010.01243","author":"Jee Cho","year":"2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2020.3028742"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2022.100657"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO54536.2021.9616052"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/int.22879"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tsc.2024.3350050"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2024.3359860"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3095915"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/iccd58817.2023.00074"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tpds.2021.3134647"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/infocom41043.2020.9155494"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/s23052494"},{"key":"ref28","article-title":"Heterogeneity-aware personalized federated learning via adaptive dual-agent reinforcement learning","volume-title":"arXiv:2501.16966","author":"Chen","year":"2025"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20894"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3631455"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3295412"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_14"},{"key":"ref33","article-title":"A reputation mechanism is all you need: Collaborative fairness and adversarial robustness in federated learning","volume-title":"arXiv:2011.10464","author":"Xu","year":"2020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375840"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/vts-apwcs.2019.8851649"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2968399"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006327"},{"key":"ref38","first-page":"4615","article-title":"Agnostic federated learning","volume-title":"Proc. Int. Conf. Mach. Learn. PMLR","author":"Mohri"},{"key":"ref39","article-title":"Fair resource allocation in federated learning","volume-title":"arXiv:1905.10497","author":"Li","year":"2019"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3169117"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/223"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/tpds.2020.3040887"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2021.3079104"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF51394.2020.9443523"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tpds.2022.3187365"},{"key":"ref46","first-page":"19","article-title":"Oort: Efficient federated learning via guided participant selection","volume-title":"Proc. 15th USENIX Symp. Operating Syst. Des. Implement. (OSDI)","author":"Lai"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3299573"},{"key":"ref48","volume-title":"A quantitative measure of fairness and discrimination for resource allocation in shared systems","author":"Jain","year":"1984"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3263594"},{"key":"ref50","article-title":"Benchmarking mutual information-based loss functions in federated learning","volume-title":"arXiv:2504.11877","author":"Chothani","year":"2025"},{"key":"ref51","article-title":"A survey on heterogeneous federated learning","volume-title":"arXiv:2210.04505","author":"Gao","year":"2022"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2022.3232891"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3458991"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2024.103462"},{"issue":"100","key":"ref55","first-page":"1","article-title":"Fedlab: A flexible federated learning framework","volume":"24","author":"Zeng","year":"2023","journal-title":"J. Mach. Learn. Res."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102198"},{"key":"ref57","volume-title":"Variability and Mutability","author":"Gini","year":"1912"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.11.031"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-023-05264-y"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3616865"},{"key":"ref61","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","author":"Li"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11072670.pdf?arnumber=11072670","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T05:36:36Z","timestamp":1752557796000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11072670\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3586943","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}