{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T11:23:34Z","timestamp":1730287414645,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T00:00:00Z","timestamp":1700784000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T00:00:00Z","timestamp":1700784000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,24]]},"DOI":"10.1109\/paap60200.2023.10391300","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:32:44Z","timestamp":1705948364000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Personalized Federated Aggregation Algorithm based on Local Attention Mechanism"],"prefix":"10.1109","author":[{"given":"Yu","family":"Zeng","sequence":"first","affiliation":[{"name":"SouthWest Jiao Tong University,New Generation Information Technology of SouthWest Jiao Tong University,Yantai,China,264000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"Yantai Consumer Complaint Center,Yantai,China,264000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Yao","sequence":"additional","affiliation":[{"name":"SouthWest Jiao Tong University,New Generation Information Technology of SouthWest Jiao Tong University,Yantai,China,264000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"WenWei","family":"He","sequence":"additional","affiliation":[{"name":"SouthWest Jiao Tong University,New Generation Information Technology of SouthWest Jiao Tong University,Yantai,China,264000"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics","author":"McMahan","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"article-title":"Privacy-preserving patient clustering for personalized federated learning","year":"2023","author":"Elhussein","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00460"},{"article-title":"Personalized federated learning with feature alignment and classifier collaboration","year":"2023","author":"Xu","key":"ref5"},{"key":"ref6","first-page":"21394","article-title":"Personalized federated learning with moreau envelopes","volume":"33","author":"Dinh","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"7","key":"ref7","first-page":"2119","article-title":"Overview of federated learning: technology, applications and future","volume":"28","author":"LI","year":"2022","journal-title":"Computer Integrated Manufacturing System"},{"article-title":"Personalized federated learning: A meta-learning approach","year":"2020","author":"Fallah","key":"ref8"},{"article-title":"On first-order meta-learning algorithms","year":"2018","author":"Nichol","key":"ref9"},{"key":"ref10","first-page":"751","article-title":"Distributed multi-task learning","volume-title":"Artificial intelligence and statistics","author":"Wang","year":"2016"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160699"},{"article-title":"Multi-participant multi-class vertical federated learning","year":"2020","author":"Feng","key":"ref12"},{"article-title":"Federated optimization: Distributed machine learning for on-device intelligence","year":"2016","author":"Kone\u010dn\u00fd","key":"ref13"},{"article-title":"Hhhfl: Hierarchical heterogeneous horizontal federated learning for electroencephalography","year":"2019","author":"Gao","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3198176"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006280"},{"key":"ref17","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3501815"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/e22030314"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-023-01864-z"}],"event":{"name":"2023 IEEE 14th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)","start":{"date-parts":[[2023,11,24]]},"location":"Beijing, China","end":{"date-parts":[[2023,11,26]]}},"container-title":["2023 IEEE 14th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10391286\/10391102\/10391300.pdf?arnumber=10391300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T02:06:50Z","timestamp":1706753210000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10391300\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,24]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/paap60200.2023.10391300","relation":{},"subject":[],"published":{"date-parts":[[2023,11,24]]}}}