{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:09:56Z","timestamp":1763194196033,"version":"3.45.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100018696","name":"Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227386","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Resources-Efficient Accelerated K-Asynchronous Adaptive Federated Learning"],"prefix":"10.1109","author":[{"given":"Xiang","family":"Ao","sequence":"first","affiliation":[{"name":"Chongqing University,Hongshen Honors School,Chongqing,China,401331"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maolan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chongqing University,College of Computer Science,Chongqing,China,401331"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenyan","family":"Wang","sequence":"additional","affiliation":[{"name":"Army Medical University (Third Military Medical University),Department of Information, Xinqiao Hospital,Chongqing,China,400037"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiamiao","family":"Liu","sequence":"additional","affiliation":[{"name":"Army Medical University (Third Military Medical University),Department of Information, Xinqiao Hospital,Chongqing,China,400037"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Army Medical University (Third Military Medical University),Department of Information, Xinqiao Hospital,Chongqing,China,400037"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuetao","family":"Chen","sequence":"additional","affiliation":[{"name":"Army Medical University (Third Military Medical University),Department of Information, Xinqiao Hospital,Chongqing,China,400037"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dewen","family":"Qiao","sequence":"additional","affiliation":[{"name":"Army Medical University (Third Military Medical University),Department of Information, Xinqiao Hospital,Chongqing,China,400037"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref2","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"article-title":"Asynchronous federated optimization","year":"2019","author":"Xie","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3510135"},{"article-title":"On the convergence of fedavg on non-iid data","year":"2019","author":"Li","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3323645"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121458"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2024.3370688"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20894"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3201983"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00535"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2024.3350050"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3309497"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3337773"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3063291"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01177"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3329375"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2024.3368751"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29603"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ECC.2015.7330562"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3140878"},{"key":"ref24","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","volume-title":"International Conference on Machine Learning","author":"Fujimoto"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3150579"},{"key":"ref26","first-page":"338","volume-title":"Principal Component Analysis for Special Types of Data","author":"Jolliffe","year":"2002"},{"article-title":"Continuous control with deep reinforcement learning","year":"2015","author":"Lillicrap","key":"ref27"},{"article-title":"FLGo: A fully customizable federated learning platform","year":"2023","author":"Wang","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref30","first-page":"32","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227386.pdf?arnumber=11227386","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:06:20Z","timestamp":1763193980000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227386\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227386","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}