{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T19:51:58Z","timestamp":1782762718598,"version":"3.54.5"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"13","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["62506283"],"award-info":[{"award-number":["62506283"]}],"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":["U25A20528"],"award-info":[{"award-number":["U25A20528"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postdoctoral Fellowship Program of Chinese Postdoctoral Science Foundation","award":["GZC20250166"],"award-info":[{"award-number":["GZC20250166"]}]},{"DOI":"10.13039\/501100020788","name":"Science and Technology Breakthrough Project of Inner Mongolia Autonomous Region","doi-asserted-by":"publisher","award":["2025KJTW0026"],"award-info":[{"award-number":["2025KJTW0026"]}],"id":[{"id":"10.13039\/501100020788","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,7,1]]},"DOI":"10.1109\/jiot.2026.3685360","type":"journal-article","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T20:05:57Z","timestamp":1776715557000},"page":"29439-29451","source":"Crossref","is-referenced-by-count":0,"title":["Federated Cross-Device Heterogeneous Few-Shot Adaptation for Edge IoT Systems"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1524-1363","authenticated-orcid":false,"given":"Jianzhao","family":"Li","sequence":"first","affiliation":[{"name":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1498-5715","authenticated-orcid":false,"given":"Yiting","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boya","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0415-8556","authenticated-orcid":false,"given":"Maoguo","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zedong","family":"Tang","sequence":"additional","affiliation":[{"name":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9768-516X","authenticated-orcid":false,"given":"Mingyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yourun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuping","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2025.3566395"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3468446"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2877217"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3062630"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2025.3571044"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3165076"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2024.3415391"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3376548"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2501\/IJMR-2017-050"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3312059"},{"key":"ref13","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3075439"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20819"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_5"},{"key":"ref17","first-page":"1","article-title":"Personalized federated learning with first order model optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhang"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86486-6_36"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.01.019"},{"key":"ref21","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","volume":"2","author":"Li"},{"key":"ref22","article-title":"Personalized federated learning: A meta-learning approach","author":"Fallah","year":"2020","journal-title":"arXiv:2002.07948"},{"key":"ref23","first-page":"21394","article-title":"Personalized federated learning with Moreau envelopes","volume-title":"Proc. NIPS","author":"Dinh"},{"key":"ref24","first-page":"6357","article-title":"Ditto: Fair and robust federated learning through personalization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015958"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26330"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/WiOpt52861.2021.9589192"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3190359"},{"key":"ref29","first-page":"3630","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"29","author":"Vinyals"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00883"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00463"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3067915"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3386978"},{"key":"ref37","first-page":"2089","article-title":"Exploiting shared representations for personalized federated learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Collins"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160699"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3210600"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i20.35423"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3090430"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2977383"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00929"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3022427"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.02.031"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101853"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3283408"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3116085"},{"key":"ref53","article-title":"Federated learning with personalization layers","author":"Ghuhan Arivazhagan","year":"2019","journal-title":"arXiv:1912.00818"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref56","first-page":"1","article-title":"Meta-learning with differentiable closed-form solvers","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Bertinetto"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref58","first-page":"1","article-title":"Meta-learning for semi-supervised few-shot classification","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Ren"},{"key":"ref59","first-page":"7252","article-title":"Bayesian nonparametric federated learning of neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"97","author":"Yurochkin"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3284846"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11581326\/11488246.pdf?arnumber=11488246","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T19:41:38Z","timestamp":1782762098000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11488246\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,1]]},"references-count":60,"journal-issue":{"issue":"13"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3685360","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,1]]}}}