{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:43:49Z","timestamp":1775745829219,"version":"3.50.1"},"reference-count":29,"publisher":"Tsinghua University Press","issue":"4","funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2022YFB2703400"],"award-info":[{"award-number":["2022YFB2703400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Big Data Min. Anal."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.26599\/bdma.2024.9020001","type":"journal-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T19:23:58Z","timestamp":1733340238000},"page":"1017-1030","source":"Crossref","is-referenced-by-count":15,"title":["A Multi-Task Based Clustering Personalized Federated Learning Method"],"prefix":"10.26599","volume":"7","author":[{"given":"Ao","family":"Xiong","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"}]},{"given":"Han","family":"Zhou","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"}]},{"given":"Yu","family":"Song","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"}]},{"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"State Grid Digital Technology Holding Co. Ltd.,Beijing,China,100053"}]},{"given":"Xu","family":"Wei","sequence":"additional","affiliation":[{"name":"State Grid Jiangsu Electric Power Company Co. Ltd.,Nanjing,China,210008"}]},{"given":"Da","family":"Li","sequence":"additional","affiliation":[{"name":"State Grid Digital Technology Holding Co. Ltd.,Beijing,China,100053"}]},{"given":"Bo","family":"Gao","sequence":"additional","affiliation":[{"name":"State Grid Jiangsu Electric Power Company Co. Ltd.,Nanjing,China,210008"}]}],"member":"11138","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-819657-1.00001-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2019.07.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WorldS450073.2020.9210355"},{"key":"ref4","author":"McMahan","journal-title":"Communication efficient learning of deep networks from decentralized data"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.098"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1752"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2988604"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2988525"},{"key":"ref9","first-page":"4424","article-title":"Federated multi-task learning","volume":"30","author":"Smith","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3098467"},{"key":"ref11","article-title":"Federated multitask learning under a mixture of distributions","volume-title":"Proc. 35th Conference on Neural Information Processing Systems (NeurIPS 2021)","author":"Marfoq"},{"key":"ref12","article-title":"Personalized federated learning: A meta-learning approach","author":"Fallah","year":"2020","journal-title":"arXiv preprint"},{"key":"ref13","first-page":"3557","article-title":"Personalizedfederated learning with theoretical guarantees: A model-agnostic meta-learning approach","volume-title":"Proc. of the 34th International Conference on Neural Information Processing Systems","author":"Fallah"},{"key":"ref14","article-title":"Adaptive gradient-based meta-learning methods","author":"Khodak","year":"2019","journal-title":"arXiv preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3379999"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3558005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119499"},{"key":"ref18","article-title":"Parameterized knowledge transfer for personalized federated learning","volume-title":"Proc. Conf. on Neural Information Processing Systems (NeurIPS)","author":"Zhang","year":"2021"},{"key":"ref19","article-title":"Salvaging federated learning by local adaptation","author":"Yu","year":"2020","journal-title":"arXiv preprint"},{"key":"ref20","article-title":"FedMD: Heterogenous federated learning via model distillation","author":"Li","year":"2019","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-29763-x"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3297103"},{"key":"ref23","article-title":"Data free knowledge distillation for heterogeneous federated learning","volume-title":"Proc. of the 38th International Conference on Machine Learning","author":"Zhu"},{"key":"ref24","article-title":"Three approaches for personalization with applications to federated learning","author":"Mansour","year":"2020","journal-title":"arXiv preprint"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207469"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015958"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01046-x"},{"key":"ref28","article-title":"Personalized federated learning for heterogeneous clients with clustered knowledge transfer","author":"Cho","year":"2021","journal-title":"arXiv preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC52510.2021.9620852"}],"container-title":["Big Data Mining and Analytics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8254253\/10778131\/10778147.pdf?arnumber=10778147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T06:27:51Z","timestamp":1733380071000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10778147\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":29,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.26599\/bdma.2024.9020001","relation":{},"ISSN":["2096-0654","2097-406X"],"issn-type":[{"value":"2096-0654","type":"print"},{"value":"2097-406X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}