{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T15:18:08Z","timestamp":1781018288440,"version":"3.54.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","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":"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\/501100013153","name":"Shandong Province Science and Technology Project","doi-asserted-by":"publisher","award":["2023TSGC0509"],"award-info":[{"award-number":["2023TSGC0509"]}],"id":[{"id":"10.13039\/501100013153","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013153","name":"Shandong Province Science and Technology Project","doi-asserted-by":"publisher","award":["2022TSGC2234"],"award-info":[{"award-number":["2022TSGC2234"]}],"id":[{"id":"10.13039\/501100013153","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019054","name":"Qingdao Science and Technology Plan Project","doi-asserted-by":"publisher","award":["23-1-5-yqpy-2-qy"],"award-info":[{"award-number":["23-1-5-yqpy-2-qy"]}],"id":[{"id":"10.13039\/501100019054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019054","name":"Qingdao Science and Technology Plan Project","doi-asserted-by":"publisher","award":["24-1-2-qljh-25-gx"],"award-info":[{"award-number":["24-1-2-qljh-25-gx"]}],"id":[{"id":"10.13039\/501100019054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tce.2025.3567316","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T13:44:08Z","timestamp":1747057448000},"page":"6561-6569","source":"Crossref","is-referenced-by-count":2,"title":["Data Heterogeneity Challenge in Consumer Electronics: A Federated Learning Solution"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2816-3755","authenticated-orcid":false,"given":"Zhenyu","family":"Liu","sequence":"first","affiliation":[{"name":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5081-8889","authenticated-orcid":false,"given":"Yunting","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huanhuan","family":"Ge","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3013-233X","authenticated-orcid":false,"given":"Jinlong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering and the Innovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of Technology, Qingdao, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2525-3074","authenticated-orcid":false,"given":"Zhihan","family":"Lyu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/iciem51511.2021.9445326"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/10643389.2014.900245"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2022.3232478"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/access.2016.2558446"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102182"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2024.3362058"},{"key":"ref7","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3323206"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/mwc.004.2200381"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3325138"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120217"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2023.3259431"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3328020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2020.3035451"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2024.3385440"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2020.2987846"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3160699"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3330864"},{"key":"ref19","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","volume":"2","author":"Li"},{"key":"ref20","first-page":"12878","article-title":"Data-free knowledge distillation for heterogeneous federated learning","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Zhu"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2023.3345431"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2023.3310046"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110758"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5963"},{"key":"ref26","article-title":"Learning student-friendly teacher networks for knowledge distillation","author":"Park","year":"2022","journal-title":"arXiv:2102.07650"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20083-0_8"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/mce.2019.2959108"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3389714"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcce.2024.08.001"},{"key":"ref32","article-title":"FedMD: Heterogenous federated learning via model distillation","author":"Li","year":"2019","journal-title":"arXiv:1910.03581"},{"key":"ref33","first-page":"2351","article-title":"Ensemble distillation for robust model fusion in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Lin"},{"key":"ref34","article-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer","author":"Zagoruyko","year":"2017","journal-title":"arXiv:1612.03928"},{"key":"ref35","first-page":"19","article-title":"Learning both weights and connections for efficient neural network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Han"},{"key":"ref36","first-page":"17","article-title":"Optimal brain damage","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"2","author":"LeCun"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3005348"},{"key":"ref38","article-title":"Pruning filters for efficient ConvNets","author":"Li","year":"2017","journal-title":"arXiv:1608.08710"},{"key":"ref39","first-page":"3296","article-title":"Metapruning: Meta learning for automatic neural network channel pruning","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis.","author":"Liu"},{"key":"ref40","volume-title":"Rethinking soft labels for knowledge distillation: A bias-variance tradeoff perspective","author":"Zhou","year":"2024"},{"key":"ref41","first-page":"3903","article-title":"Revisiting knowledge distillation via label smoothing regularization","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit","author":"Yuan"},{"key":"ref42","first-page":"23401","article-title":"The flip side of the reweighted coin: Duality of adaptive dropout and regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"LeJeune"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2024.058926"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/30\/11128999\/11000094.pdf?arnumber=11000094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T17:45:10Z","timestamp":1757353510000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11000094\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":43,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tce.2025.3567316","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}