{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:50:52Z","timestamp":1761396652375,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,28]],"date-time":"2023-05-28T00:00:00Z","timestamp":1685232000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,28]],"date-time":"2023-05-28T00:00:00Z","timestamp":1685232000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,28]]},"DOI":"10.1109\/iccworkshops57953.2023.10283698","type":"proceedings-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T13:54:22Z","timestamp":1698069262000},"page":"373-378","source":"Crossref","is-referenced-by-count":3,"title":["FedSCS: Client Selection for Federated Learning Under System Heterogeneity and Client Fairness with a Stackelberg Game Approach"],"prefix":"10.1109","author":[{"given":"Tong","family":"Yin","sequence":"first","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University,Xi'an,China,710129"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University,Xi'an,China,710129"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wensheng","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University,Xi'an,China,710129"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University,Xi'an,China,710129"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University,Xi'an,China,710129"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhu","family":"Han","sequence":"additional","affiliation":[{"name":"University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77004"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"429","article-title":"Federated Optimization in Heterogeneous Networks","author":"li","year":"2020","journal-title":"Proceedings of Machine Learning and Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103715"},{"key":"ref14","first-page":"3407","article-title":"Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning","author":"fraboni","year":"2021","journal-title":"Proceedings of the 38th International Conference on Machine Learning Virtual"},{"key":"ref11","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","author":"wang","year":"2020","journal-title":"Advances in Neural Information Processing Systems Vancouver Canada"},{"journal-title":"Adaptive Federated Optimization","year":"0","author":"reddi","key":"ref10"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.05.050"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref17"},{"journal-title":"Game Theory","year":"1991","author":"fudenberg","key":"ref16"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118346"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/JCIN.2022.9815197"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3089054"},{"key":"ref4","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume":"54","author":"mcmahan","year":"2017","journal-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145388"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.2020.10.008"}],"event":{"name":"2023 IEEE International Conference on Communications Workshops (ICC Workshops)","start":{"date-parts":[[2023,5,28]]},"location":"Rome, Italy","end":{"date-parts":[[2023,6,1]]}},"container-title":["2023 IEEE International Conference on Communications Workshops (ICC Workshops)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10283478\/10283479\/10283698.pdf?arnumber=10283698","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T13:58:57Z","timestamp":1699883937000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10283698\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,28]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/iccworkshops57953.2023.10283698","relation":{},"subject":[],"published":{"date-parts":[[2023,5,28]]}}}