{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T16:04:33Z","timestamp":1781366673848,"version":"3.54.1"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"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":["62172003"],"award-info":[{"award-number":["62172003"]}],"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":["62402029"],"award-info":[{"award-number":["62402029"]}],"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":["62172063"],"award-info":[{"award-number":["62172063"]}],"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":["62441207"],"award-info":[{"award-number":["62441207"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2024T170047"],"award-info":[{"award-number":["2024T170047"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["GZC20230223"],"award-info":[{"award-number":["GZC20230223"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2024M750165"],"award-info":[{"award-number":["2024M750165"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF of Chongqing Projects","award":["CSTB2024NSCQ-JQX0020"],"award-info":[{"award-number":["CSTB2024NSCQ-JQX0020"]}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["ECCS-2302469"],"award-info":[{"award-number":["ECCS-2302469"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CMMI-2222810"],"award-info":[{"award-number":["CMMI-2222810"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Amazon and Japan Science and Technology Agency"},{"name":"Adopting Sustainable Partnerships for Innovative Research Ecosystem","award":["JPMJAP2326"],"award-info":[{"award-number":["JPMJAP2326"]}]},{"name":"National Research Foundation, Singapore and Infocomm Media Development Authority","award":["FCP-NTU-RG-2022-010"],"award-info":[{"award-number":["FCP-NTU-RG-2022-010"]}]},{"name":"National Research Foundation, Singapore and Infocomm Media Development Authority","award":["FCP-ASTAR-TG-2022-003"],"award-info":[{"award-number":["FCP-ASTAR-TG-2022-003"]}]},{"DOI":"10.13039\/501100001459","name":"Ministry of Education - Singapore","doi-asserted-by":"publisher","award":["RG87\/22"],"award-info":[{"award-number":["RG87\/22"]}],"id":[{"id":"10.13039\/501100001459","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001459","name":"Ministry of Education - Singapore","doi-asserted-by":"publisher","award":["RG24\/24"],"award-info":[{"award-number":["RG24\/24"]}],"id":[{"id":"10.13039\/501100001459","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NTU Centre for Computational Technologies in Finance"},{"name":"RIE 2025 Industry Aianment Fund-Industry Collaboration Projects","award":["12301E0026"],"award-info":[{"award-number":["12301E0026"]}]},{"name":"Alibaba Group and NTU Singapore through Alibaba-NTU Global e-Sustainability CorpLab"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Serv. Comput."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tsc.2025.3553707","type":"journal-article","created":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T18:26:59Z","timestamp":1742840819000},"page":"1627-1640","source":"Crossref","is-referenced-by-count":7,"title":["pFedCal: Lightweight Personalized Federated Learning With Adaptive Calibration Strategy"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2954-1650","authenticated-orcid":false,"given":"Dongshang","family":"Deng","sequence":"first","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7912-8757","authenticated-orcid":false,"given":"Xuangou","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University of Technology, Anhui Province Key Laboratory of Digital Twin Technology in Metallurgical Industry, Ma’anshan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3366-7640","authenticated-orcid":false,"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Cyberspace Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1473-6006","authenticated-orcid":false,"given":"Chaocan","family":"Xiang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9799-4635","authenticated-orcid":false,"given":"Wei","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University of Technology, Anhui Province Key Laboratory of Digital Twin Technology in Metallurgical Industry, Ma’anshan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8203-8146","authenticated-orcid":false,"given":"Minrui","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8218-3490","authenticated-orcid":false,"given":"Jiawen","family":"Kang","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6606-5822","authenticated-orcid":false,"given":"Zhu","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-7416","authenticated-orcid":false,"given":"Dusit","family":"Niyato","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2025.3533016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tccn.2024.3502493"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2023.3315066"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121458"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/sim.10146"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1561\/9781680837896"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3570361.3592517"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3412357"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3501813"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3353920"},{"key":"ref13","article-title":"Federated learning with personalization layers","author":"Arivazhagan","year":"2019"},{"key":"ref14","first-page":"6357","article-title":"Ditto: Fair and robust federated learning through personalization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3225185"},{"key":"ref16","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/jrsssc\/qlad106"},{"key":"ref18","article-title":"Personalized federated learning with feature alignment and classifier collaboration","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02140"},{"key":"ref20","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","author":"Li"},{"key":"ref21","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref22","first-page":"10092","article-title":"Parameterized knowledge transfer for personalized federated learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref23","article-title":"PeFLL: Personalized federated learning by learning to learn","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Scott"},{"key":"ref24","first-page":"9489","article-title":"Personalized federated learning using hypernetworks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shamsian"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26330"},{"key":"ref26","article-title":"Personalized federated learning with first order model optimization","author":"Zhang","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2024.3432871"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3136853"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MCOMSTD.0005.2200044"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3501296"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.05.003"},{"key":"ref32","article-title":"On bridging generic and personalized federated learning for image classification","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3446271"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00993"},{"key":"ref35","first-page":"12878","article-title":"Data-free knowledge distillation for heterogeneous federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu"},{"key":"ref36","first-page":"15070","article-title":"Personalized federated learning through local memorization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Marfoq"},{"key":"ref37","article-title":"Fashion-mnist: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"issue":"4","key":"ref38","article-title":"Learning multiple layers of features from tiny images","volume":"1","author":"Krizhevsky","year":"2009","journal-title":"Learn. Mult. Layers Features Tiny Images"},{"key":"ref39","article-title":"Fair resource allocation in federated learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10229011"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2024.3377655"}],"container-title":["IEEE Transactions on Services Computing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/4629386\/11031152\/10937074-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4629386\/11031152\/10937074.pdf?arnumber=10937074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T17:43:18Z","timestamp":1749750198000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10937074\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":41,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tsc.2025.3553707","relation":{},"ISSN":["1939-1374","2372-0204"],"issn-type":[{"value":"1939-1374","type":"electronic"},{"value":"2372-0204","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}