{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T20:29:05Z","timestamp":1786739345414,"version":"build-2736575974"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"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":"crossref","award":["62436005"],"award-info":[{"award-number":["62436005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"crossref","award":["23KJB520012"],"award-info":[{"award-number":["23KJB520012"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Dev. Syst."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tcds.2025.3621328","type":"journal-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T17:41:49Z","timestamp":1760463709000},"page":"1099-1112","source":"Crossref","is-referenced-by-count":2,"title":["Personalized Federated EEG Decoding With Structured Graph-Based Guidance"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8029-3613","authenticated-orcid":false,"given":"Wenlong","family":"Hang","sequence":"first","affiliation":[{"name":"Nanjing Tech University","place":["Nanjing, China"],"department":["College of Computer and Information Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7319-1678","authenticated-orcid":false,"given":"Jiaxing","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing Tech University","place":["Nanjing, China"],"department":["College of Computer and Information Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8118-6380","authenticated-orcid":false,"given":"Junliang","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing Tech University","place":["Nanjing, China"],"department":["College of Computer and Information Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0305-7558","authenticated-orcid":false,"given":"Shuang","family":"Liang","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications","place":["Nanjing, China"],"department":["School of Internet of Things"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0835-3770","authenticated-orcid":false,"given":"Qiong","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences","place":["Shenzhen, China"],"department":["Shenzhen Institute of Advanced Technology"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3087-2550","authenticated-orcid":false,"given":"Baiying","family":"Lei","sequence":"additional","affiliation":[{"name":"Shenzhen University","place":["Shenzhen, China"],"department":["School of Biomedical Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9016-2617","authenticated-orcid":false,"given":"Guanglin","family":"Li","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences","place":["Shenzhen, China"],"department":["Shenzhen Institute of Advanced Technology"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1710-3818","authenticated-orcid":false,"given":"Badong","family":"Chen","sequence":"additional","affiliation":[{"name":"Xi\u2019an Jiaotong University","place":["Xi\u2019an, China"],"department":["Institute of Artificial Intelligence and Robotics"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2961-0860","authenticated-orcid":false,"given":"Jing","family":"Qin","sequence":"additional","affiliation":[{"name":"Hong Kong Polytechnic University","place":["Hung Hom, Hong Kong"],"department":["School of Nursing"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2022.3194603"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.2981659"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab22ea"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.01058"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2018.04.750"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2905157"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3051958"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abc902"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2023.3288985"},{"key":"ref12","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":"ref13","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","volume":"2","author":"Li","year":"2020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_31"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00991"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175344"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2018.2826840"},{"key":"ref19","article-title":"HHHFL: Hierarchical heterogeneous horizontal federated learning for electroencephalography","author":"Gao","year":"2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095564"},{"key":"ref21","article-title":"Adaptive personalized federated learning","author":"Deng","year":"2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160699"},{"key":"ref23","first-page":"4424","article-title":"Federated multi-task learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Smith","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2022.3193731"},{"key":"ref25","article-title":"Improving federated learning personalization via model agnostic meta learning","author":"Jiang","year":"2019"},{"key":"ref26","article-title":"Salvaging federated learning by local adaptation","author":"Yu","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2022.3232569"},{"key":"ref28","article-title":"FedBN: Federated learning on Non-IID features via local batch normalization","author":"Li","year":"2021"},{"key":"ref29","article-title":"Federated learning with personalization layers","author":"Arivazhagan","year":"2019"},{"key":"ref30","article-title":"Think locally, act globally: Federated learning with local and global representations","author":"Liang","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00980"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106100"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2024.3457504"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0833"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2_327"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2006.875642"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00055"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3230250"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.09.030"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/03610918.2014.931971"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3220551"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.04.087"},{"issue":"1","key":"ref43","first-page":"2529","article-title":"Robust kernel density estimation","volume":"13","author":"Kim","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2868685"}],"container-title":["IEEE Transactions on Cognitive and Developmental Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7274989\/11653483\/11202999.pdf?arnumber=11202999","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T19:28:14Z","timestamp":1786735694000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11202999\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":44,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcds.2025.3621328","relation":{},"ISSN":["2379-8920","2379-8939"],"issn-type":[{"value":"2379-8920","type":"print"},{"value":"2379-8939","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}