{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:28:11Z","timestamp":1755998891244,"version":"3.37.3"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"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","award":["61971286"],"award-info":[{"award-number":["61971286"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/globecom46510.2021.9685090","type":"proceedings-article","created":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T21:59:04Z","timestamp":1643839144000},"page":"01-06","source":"Crossref","is-referenced-by-count":15,"title":["Client Selection with Bandwidth Allocation in Federated Learning"],"prefix":"10.1109","author":[{"given":"Junqian","family":"Kuang","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University"}]},{"given":"Miao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University"}]},{"given":"Hongbin","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University"}]},{"given":"Hua","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref11","article-title":"Mortal multiarmed bandits","author":"chakrabarti","year":"2008","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682398"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053680"},{"key":"ref14","article-title":"Federated learning with class imbalance reduction","volume":"abs 2011 11266","author":"yang","year":"2020","journal-title":"CoRR"},{"key":"ref15","article-title":"Discrete water filling multipath packet scheduling","author":"schneuwly","year":"0","journal-title":"International Symposium on Information Theory (ISIT)"},{"key":"ref16","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Technical Report"},{"key":"ref17","article-title":"Communication efficient distributed machine learning with the parameter server","author":"li","year":"2014","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3033286"},{"key":"ref4","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","volume":"abs 2010 1243","author":"cho","year":"2020","journal-title":"CoRR"},{"key":"ref3","article-title":"Efficient decentralized deep learning by dynamic model averaging","author":"kamp","year":"2018","journal-title":"Machine Learning and Knowledge Discovery in Databases (ECML PKDD) Part III"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3015671"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3008091"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3025446"},{"key":"ref2","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Artificial Intelligence and Statistics (AISTATS)"},{"key":"ref1","article-title":"Towards the science of security and privacy in machine learning","volume":"abs 1611 3814","author":"papernot","year":"2016","journal-title":"CoRR"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3069541"}],"event":{"name":"GLOBECOM 2021 - 2021 IEEE Global Communications Conference","start":{"date-parts":[[2021,12,7]]},"location":"Madrid, Spain","end":{"date-parts":[[2021,12,11]]}},"container-title":["2021 IEEE Global Communications Conference (GLOBECOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9685019\/9685006\/09685090.pdf?arnumber=9685090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T21:17:24Z","timestamp":1655759844000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9685090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/globecom46510.2021.9685090","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]}}}