{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:05:05Z","timestamp":1766484305208,"version":"3.43.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2023YFC2506804"],"award-info":[{"award-number":["2023YFC2506804"]}]},{"name":"National Key R&D Program of China","award":["2022YFC3310300"],"award-info":[{"award-number":["2022YFC3310300"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272044","62227807"],"award-info":[{"award-number":["62272044","62227807"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2021ZD0201900"],"award-info":[{"award-number":["2021ZD0201900"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Natural Science Foundation","award":["L243034"],"award-info":[{"award-number":["L243034"]}]},{"name":"Teli Young Fellow Program from the Beijing Institute of Technology, China"},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["S24116"],"award-info":[{"award-number":["S24116"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2024A1515011774"],"award-info":[{"award-number":["2024A1515011774"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1109\/jbhi.2025.3562090","type":"journal-article","created":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T13:51:58Z","timestamp":1744811518000},"page":"5527-5540","source":"Crossref","is-referenced-by-count":2,"title":["FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9103-8025","authenticated-orcid":false,"given":"Xihang","family":"Qiu","sequence":"first","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention (BIT), Ministry of Education, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2714-7593","authenticated-orcid":false,"given":"Wanyong","family":"Qiu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention (BIT), Ministry of Education, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4023-6352","authenticated-orcid":false,"given":"Ye","family":"Zhang","sequence":"additional","affiliation":[{"name":"MSU-BIT-SMBU Joint Research Center of Applied Mathematics, Shenzhen MSU-BIT University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1918-6453","authenticated-orcid":false,"given":"Kun","family":"Qian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention (BIT), Ministry of Education, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2021-751X","authenticated-orcid":false,"given":"Chun","family":"Li","sequence":"additional","affiliation":[{"name":"MSU-BIT-SMBU Joint Research Center of Applied Mathematics, Shenzhen MSU-BIT University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3514-5413","authenticated-orcid":false,"given":"Bin","family":"Hu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention (BIT), Ministry of Education, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6478-8699","authenticated-orcid":false,"given":"Bj\u00f6rn W.","family":"Schuller","sequence":"additional","affiliation":[{"name":"GLAM – the Group on Language, Audio, & Music, Imperial College London, London, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1132-0355","authenticated-orcid":false,"given":"Yoshiharu","family":"Yamamoto","sequence":"additional","affiliation":[{"name":"Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-41839-w"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-024-03209-x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3083525"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3121473"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3395622"},{"key":"ref6","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":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3298446"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.005.210108"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3357947"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3428512"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2431497"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2797176"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ac5c8d"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s22062092"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/3590973"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160699"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3282955"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3276865"},{"key":"ref20","first-page":"5530","article-title":"Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kim","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3177197"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3297103"},{"article-title":"Distilling the knowledge in a neural network","year":"2015","author":"Hinton","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3170728"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3237749"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2024-439"},{"key":"ref27","first-page":"1","article-title":"FedMD: Heterogenous federated learning via model distillation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst. Workshop","author":"Li","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3264740"},{"key":"ref29","first-page":"22593","article-title":"Distributed distillation for on-device learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Bistritz","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2723872.2723876"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2895471"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2024.3361458"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/15501329221092932"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3070013"},{"key":"ref35","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","volume":"2","author":"Li","year":"2020"},{"key":"ref36","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","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127290"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1002\/9781119995784"},{"key":"ref39","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Inf. Conf. Neural Inf. Process. Syst.","author":"Paszke","year":"2019"},{"key":"ref40","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8853-9"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/16M1080173"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11118946\/10967240.pdf?arnumber=10967240","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T17:45:37Z","timestamp":1754588737000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10967240\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":43,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3562090","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"type":"print","value":"2168-2194"},{"type":"electronic","value":"2168-2208"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}