{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T22:03:37Z","timestamp":1757628217349,"version":"3.44.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"18","license":[{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"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":["62171413"],"award-info":[{"award-number":["62171413"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,9,15]]},"DOI":"10.1109\/jiot.2025.3587067","type":"journal-article","created":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T23:20:31Z","timestamp":1752103231000},"page":"38656-38667","source":"Crossref","is-referenced-by-count":0,"title":["pFedMLKD: A Novel Framework for Personalized Federated Learning via Multilevel Distillation"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5840-9163","authenticated-orcid":false,"given":"Yuankun","family":"Xia","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2197-2285","authenticated-orcid":false,"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5511-6702","authenticated-orcid":false,"given":"Di","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8273-7585","authenticated-orcid":false,"given":"Yiteng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9719-2827","authenticated-orcid":false,"given":"Qian","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICBAIE52039.2021.9390061"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2954128"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800286"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2984887"},{"key":"ref8","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref9","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"Proc. ICML","author":"Karimireddy"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2956615"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00993"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2995800"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160699"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3098467"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2023.3315066"},{"key":"ref17","first-page":"12878","article-title":"Data-free knowledge distillation for heterogeneous federated learning","volume-title":"Proc. ICML","author":"Zhu"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3287355"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3225185"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-29763-x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3319986"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3212905"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3023430"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3064351"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIBD.2018.8396165"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2596101"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242734"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2633620"},{"key":"ref29","first-page":"2351","article-title":"Ensemble distillation for robust model fusion in federated learning","volume-title":"Proc. NIPS","author":"Lin"},{"key":"ref30","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. MLSys","author":"Li"},{"key":"ref31","first-page":"60397","article-title":"FedFed: Feature distillation against data heterogeneity in federated learning","volume-title":"Proc. NIPS","author":"Yang"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3209347"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3372833"},{"key":"ref35","article-title":"FitNets: Hints for thin deep nets","author":"Romero","year":"2014","journal-title":"arXiv:1412.6550"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3391018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01008"},{"key":"ref38","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"Proc. Int. Conf. Mach. Learn,","author":"Guo"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02325"},{"key":"ref40","first-page":"1","article-title":"FedGMKD: An efficient prototype federated learning framework through knowledge distillation and discrepancy-aware aggregation","volume-title":"Proc. NeurIPS","author":"Zhang"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref42"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3345431"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3402149"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11153580\/11075835.pdf?arnumber=11075835","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T05:56:13Z","timestamp":1757483773000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11075835\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,15]]},"references-count":44,"journal-issue":{"issue":"18"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3587067","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2025,9,15]]}}}