{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:05:01Z","timestamp":1773273901875,"version":"3.50.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":["62471139"],"award-info":[{"award-number":["62471139"]}],"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":["62302203"],"award-info":[{"award-number":["62302203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2024H6008"],"award-info":[{"award-number":["2024H6008"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2025J02019"],"award-info":[{"award-number":["2025J02019"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2025H0043"],"award-info":[{"award-number":["2025H0043"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2025YZ040003"],"award-info":[{"award-number":["2025YZ040003"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tc.2025.3625233","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T17:57:14Z","timestamp":1761587834000},"page":"233-246","source":"Crossref","is-referenced-by-count":1,"title":["Toward Personalized Federated Meta-Learning With Constrained Hypernetwork on Non-IID Data"],"prefix":"10.1109","volume":"75","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5139-2896","authenticated-orcid":false,"given":"Lizhao","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0494-3538","authenticated-orcid":false,"given":"Xiaoding","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1716-1399","authenticated-orcid":false,"given":"Hui","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2735-2359","authenticated-orcid":false,"given":"Xu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Cyber Security and Engineering, Minjiang University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7362-2789","authenticated-orcid":false,"given":"Jiwu","family":"Shu","sequence":"additional","affiliation":[{"name":"School of Cyber Security and Engineering, Minjiang University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7351-5724","authenticated-orcid":false,"given":"Xun","family":"Yi","sequence":"additional","affiliation":[{"name":"School of Computing Technologies, RMIT University, Melbourne, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5512-114X","authenticated-orcid":false,"given":"Ibrahim","family":"Khalil","sequence":"additional","affiliation":[{"name":"School of Computing Technologies, RMIT University, Melbourne, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3090-1059","authenticated-orcid":false,"given":"Albert Y.","family":"Zomaya","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Sydney, Sydney, NSW, Australia"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2025.3527202"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3376548"},{"key":"ref4","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"Li","year":"2020","journal-title":"Proc. Mach. Learn. Syst."},{"key":"ref5","article-title":"Federated learning with non-iid data","author":"Zhao","year":"2018"},{"key":"ref6","first-page":"3557","article-title":"Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Fallah","year":"2020"},{"key":"ref7","article-title":"Federated meta-learning with fast convergence and efficient communication","author":"Chen","year":"2018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3558005"},{"key":"ref9","first-page":"21394","article-title":"Personalized federated learning with Moreau envelopes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Dinh","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3638252"},{"key":"ref11","first-page":"1","article-title":"Hypernetworks","volume-title":"Proc. 5th Int. Conf. Learn. Representations (ICLR), Toulon, France,","author":"Ha","year":"2017"},{"key":"ref12","first-page":"9489","article-title":"Personalized federated learning using hypernetworks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shamsian","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00985"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10862-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3045266"},{"key":"ref16","article-title":"Improving federated learning personalization via model agnostic meta learning","author":"Jiang","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26330"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29617"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2451"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01139"},{"key":"ref21","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn","year":"2017"},{"key":"ref22","article-title":"Reptile: A scalable metalearning algorithm","author":"Nichol","year":"2018"},{"key":"ref23","article-title":"On bridging generic and personalized federated learning for image classification","volume-title":"Proc. 10th Int. Conf. Learn. Representations (ICLR)","author":"Chen","year":"2022"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3269062"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00980"},{"key":"ref26","article-title":"Real-time edge intelligence in the making: A collaborative learning framework via federated meta-learning","author":"Lin","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1613\/jair.731"},{"key":"ref28","first-page":"16937","article-title":"Inverting gradients - how easy is it to break privacy in federated learning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Geiping","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645514"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00426"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/12\/11296746\/11216134.pdf?arnumber=11216134","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T08:15:06Z","timestamp":1766132106000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11216134\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":30,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tc.2025.3625233","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}