{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T15:43:28Z","timestamp":1745509408218,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T00:00:00Z","timestamp":1673136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T00:00:00Z","timestamp":1673136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,8]]},"DOI":"10.1109\/ccnc51644.2023.10059659","type":"proceedings-article","created":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T17:17:55Z","timestamp":1679073475000},"page":"508-516","source":"Crossref","is-referenced-by-count":6,"title":["Compressed Client Selection for Efficient Communication in Federated Learning"],"prefix":"10.1109","author":[{"given":"Aissa Hadj","family":"Mohamed","sequence":"first","affiliation":[{"name":"Institute of Computing State University of Campinas,Campinas,Brazil"}]},{"given":"N\u00edcolas R. G.","family":"Assump\u00e7\u00e1o","sequence":"additional","affiliation":[{"name":"Institute of Computing State University of Campinas,Campinas,Brazil"}]},{"given":"Carlos A.","family":"Astudillo","sequence":"additional","affiliation":[{"name":"Institute of Computing State University of Campinas,Campinas,Brazil"}]},{"given":"Allan M.","family":"de Souza","sequence":"additional","affiliation":[{"name":"Institute of Computing State University of Campinas,Campinas,Brazil"}]},{"given":"Luiz F.","family":"Bittencourt","sequence":"additional","affiliation":[{"name":"Institute of Computing State University of Campinas,Campinas,Brazil"}]},{"given":"Leandro A.","family":"Villas","sequence":"additional","affiliation":[{"name":"Institute of Computing State University of Campinas,Campinas,Brazil"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1016\/j.future.2020.10.007","article-title":"A survey on security and privacy of federated learning","volume":"115","author":"Mothukuri","year":"2021","journal-title":"Future Generation Computer Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"volume-title":"Communication efficiency in federated learning: Achievements and challenges","year":"2021","author":"Shahid","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3007787"},{"key":"ref6","article-title":"Federated optimization in heterogeneous networks","volume":"abs\/1812.06127","author":"Li","year":"2018","journal-title":"CoRR"},{"volume-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref9","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","volume":"abs\/2010.01243","author":"Cho","year":"2020","journal-title":"CoRR"},{"key":"ref10","article-title":"Fetchsgd: Communication-efficient federated learning with sketching","volume":"abs\/2007.07682","author":"Rothchild","year":"2020","journal-title":"CoRR"},{"key":"ref11","article-title":"Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization","volume":"abs\/1909.13014","author":"Reisizadeh","year":"2019","journal-title":"CoRR"},{"key":"ref12","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","volume":"abs\/1712.01887","author":"Lin","year":"2017","journal-title":"CoRR"},{"key":"ref13","article-title":"signsgd: compressed optimisation for non-convex problems","volume":"abs\/1802.04434","author":"Bernstein","year":"2018","journal-title":"CoRR"},{"key":"ref14","article-title":"Federated learning with quantized global model updates","volume":"abs\/2006.10672","author":"Amiri","year":"2020","journal-title":"CoRR"},{"key":"ref15","article-title":"Fast-convergent federated learning","volume":"abs\/2007.13137","author":"Nguyen","year":"2020","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2015-354","volume-title":"Scalable distributed dnn training using commodity gpu cloud computing","author":"Str\u00f6m","year":"2015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1966.1053907"},{"volume-title":"Human activity recognition with smartphones","key":"ref18"},{"volume-title":"Neural networks: a comprehensive foundation","year":"1994","author":"Haykin","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2017.3971131"}],"event":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","start":{"date-parts":[[2023,1,8]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2023,1,11]]}},"container-title":["2023 IEEE 20th Consumer Communications &amp; Networking Conference (CCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10059462\/10059600\/10059659.pdf?arnumber=10059659","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T07:15:30Z","timestamp":1710400530000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10059659\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,8]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/ccnc51644.2023.10059659","relation":{},"subject":[],"published":{"date-parts":[[2023,1,8]]}}}