{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T20:58:38Z","timestamp":1775768318931,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T00:00:00Z","timestamp":1776211200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T00:00:00Z","timestamp":1776211200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T00:00:00Z","timestamp":1776211200000},"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":["U21A20474"],"award-info":[{"award-number":["U21A20474"]}],"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":["62166004"],"award-info":[{"award-number":["62166004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangxi Science and Technology Major Project","award":["GuikeAA22068070"],"award-info":[{"award-number":["GuikeAA22068070"]}]},{"name":"Basic Ability Enhancement Program for Young and Middle-Aged Teachers of Guangxi","award":["2023KY0062"],"award-info":[{"award-number":["2023KY0062"]}]},{"name":"Basic Ability Enhancement Program for Young and Middle-Aged Teachers of Guangxi","award":["2024KY0072"],"award-info":[{"award-number":["2024KY0072"]}]},{"name":"Innovation Project of Guangxi Graduate Education","award":["XYCBZ2024025"],"award-info":[{"award-number":["XYCBZ2024025"]}]},{"name":"Key Laboratory of Education Blockchain and Intelligent Technology"},{"name":"Guangxi Collaborative Center of Multisource Information Integration and Intelligent Processing"},{"name":"Center for Applied Mathematics of Guangxi"},{"name":"Guangxi \u201cBagui Scholar\u201d Teams for Innovation and Research Project"},{"name":"Guangxi Talent Highland Project of Big Data Intelligence and Application"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,4,15]]},"DOI":"10.1109\/jiot.2026.3661124","type":"journal-article","created":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T20:51:14Z","timestamp":1770411074000},"page":"17061-17079","source":"Crossref","is-referenced-by-count":0,"title":["HFed-CMS: Cluster-Based Hierarchical Federated Multitask Learning With Fair Edge Node Selection"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7065-5289","authenticated-orcid":false,"given":"Peng","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, the School of Software and the School of Artificial Intelligence, Guangxi Normal University, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayi","family":"Liu","sequence":"additional","affiliation":[{"name":"Network and Information Center, Guilin University of Technology, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2704-7094","authenticated-orcid":false,"given":"Youquan","family":"Xian","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaichen","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, the School of Software and the School of Artificial Intelligence, Guangxi Normal University, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2583-9112","authenticated-orcid":false,"given":"Peng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, the School of Software, the School of Artificial Intelligence, and the Key Laboratory of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7083-3847","authenticated-orcid":false,"given":"Xianxian","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, the School of Software, the School of Artificial Intelligence, and the Key Laboratory of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00323-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148862"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3096076"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3277553"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20832"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015958"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2022.3192506"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS56603.2022.00011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449851"},{"key":"ref11","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":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD54268.2022.9776061"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref14","first-page":"503","article-title":"FedDCT: A dynamic cross-tier federated learning framework in wireless networks","volume-title":"Proc. Int. Conf. Wireless Artif. Intell. Comput. Syst. Appl.","author":"Liu"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737416"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3324381"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.009.2300501"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2400670"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1016\/j.comcom.2025.108264","article-title":"ACSFL: An adaptive client selection-based federated learning with personalized differential privacy for heterogeneous AIoT environments","volume":"242","author":"Wang","year":"2025","journal-title":"Comput. Commun."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3238049"},{"key":"ref23","article-title":"FedCor: Correlation-based active client selection strategy for heterogeneous federated learning","author":"Tang","year":"2021","journal-title":"arXiv:2103.13822"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3146399"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/sym14051070"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3594102"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3186960"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449926"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3320123"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3505850"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3265564"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1016\/j.future.2024.07.046","article-title":"Multi-objective federated learning: Balancing global performance and individual fairness","volume":"162","author":"Shen","year":"2025","journal-title":"Future Gener. Comput. Syst."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3088910"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20785"},{"key":"ref35","article-title":"Dynamic clustering for personalized federated learning on heterogeneous edge devices","author":"Liu","year":"2025","journal-title":"arXiv:2508.01580"},{"issue":"15","key":"ref36","doi-asserted-by":"crossref","first-page":"6986","DOI":"10.3390\/s23156986","article-title":"Multimodal federated learning: A survey","volume":"23","author":"Che","year":"2023","journal-title":"Sensors"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC61545.2025.10978650"},{"key":"ref38","article-title":"Multi-level local SGD: Distributed SGD for heterogeneous hierarchical networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Castiglia"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/PUNECON.2018.8745428"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3332637"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3458864.3467681"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW63119.2024.00200"},{"key":"ref44","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","author":"Tian"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3053588"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS53621.2022.00100"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26197"},{"key":"ref48","article-title":"FedGroup: Ternary cosine similarity-based clustered federated learning framework toward high accuracy in heterogeneous data","author":"Duan","year":"2020","journal-title":"CoRR"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3052681"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11477814\/11372685.pdf?arnumber=11372685","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T19:49:49Z","timestamp":1775764189000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11372685\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,15]]},"references-count":49,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3661124","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,15]]}}}