{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:37:59Z","timestamp":1781973479939,"version":"3.54.5"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018693","name":"Horizon Europe","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018693","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018693","name":"Horizon Europe","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018693","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,14]]},"DOI":"10.1109\/icasspw62465.2024.10626990","type":"proceedings-article","created":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T17:19:18Z","timestamp":1723742358000},"page":"695-699","source":"Crossref","is-referenced-by-count":9,"title":["Version Age-Based Client Scheduling Policy for Federated Learning"],"prefix":"10.1109","author":[{"given":"Xinyi","family":"Hu","sequence":"first","affiliation":[{"name":"Zhejiang University,ZJU-UIUC Institute,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikolaos","family":"Pappas","sequence":"additional","affiliation":[{"name":"Link&#x00F6;ping University,Department of Computer and Information Science,Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Howard H.","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang University,ZJU-UIUC Institute,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref2","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine Learning and Systems","volume":"2","author":"Li"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900370"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3008091"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849507"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CSCN60443.2023.10453168"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053740"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-10925-7_24","article-title":"Efficient decentralized deep learning by dynamic model averaging","volume-title":"Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018","author":"Kamp"},{"key":"ref10","article-title":"Lag: Lazily aggregated gradient for communication-efficient distributed learning","volume":"31","author":"Chen","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9517796"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2022.3159745"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488731"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.23919\/WiOpt58741.2023.10349895"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44503-X_27"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8006543"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.2988013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3078137"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2019.8845106"},{"key":"ref20","article-title":"On large-cohort training for federated learning","volume":"34","author":"Charles","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref21","article-title":"Taming fat-tailed (\u201dheavier-tailed\" with potentially infinite variance) noise in federated learning","volume":"35","author":"Yang","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref24","article-title":"Measuring the effects of non-identical data distribution for federated visual classification","author":"Hsu","year":"2019"}],"event":{"name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2024,4,14]]},"end":{"date-parts":[[2024,4,19]]}},"container-title":["2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10625769\/10625780\/10626990.pdf?arnumber=10626990","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T05:31:48Z","timestamp":1723786308000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10626990\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icasspw62465.2024.10626990","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}