{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T17:10:56Z","timestamp":1774631456972,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Germany\u2019s Excellence Strategy\u2014EXC 2002\/1 \u201cScience of Intelligence\u201d","award":["390523135"],"award-info":[{"award-number":["390523135"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Control Syst. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lcsys.2024.3402123","type":"journal-article","created":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T17:39:25Z","timestamp":1715881165000},"page":"682-687","source":"Crossref","is-referenced-by-count":3,"title":["Boosting Fairness and Robustness in Over-the-Air Federated Learning"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5755-6371","authenticated-orcid":false,"given":"Halil Yi\u011fit","family":"\u00d6ks\u00fcz","sequence":"first","affiliation":[{"name":"Control Systems Group and the Exzellenzcluster Science of Intelligence, Technische Universit&#x00E4;t Berlin, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2617-962X","authenticated-orcid":false,"given":"Fabio","family":"Molinari","sequence":"additional","affiliation":[{"name":"Control Systems Group, Technische Universit&#x00E4;t Berlin, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Henning","family":"Sprekeler","sequence":"additional","affiliation":[{"name":"Exzellenzcluster Science of Intelligence and the Modelling Cognitive Processes Group, Technische Universit&#x00E4;t Berlin, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8724-0773","authenticated-orcid":false,"given":"J\u00f6rg","family":"Raisch","sequence":"additional","affiliation":[{"name":"Control Systems Group and the Exzellenzcluster Science of Intelligence, Technische Universit&#x00E4;t Berlin, Berlin, Germany"}],"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":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref2","first-page":"1","article-title":"Federated multi-task learning","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","author":"Smith"},{"key":"ref3","first-page":"374","article-title":"Towards federated learning at scale: System design","volume-title":"Proc. Mach. Learn. Syst.","author":"Bonawitz"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975210"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2023.3290470"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2023.3285739"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3090323"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3125282"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref11","article-title":"Federated learning: Strategies for improving communication efficiency","author":"Kone\u010dn\u1ef3","year":"2016","journal-title":"arXiv:1610.05492"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CDC49753.2023.10384001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2021.3050330"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3106115"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2020.12.980"},{"key":"ref19","volume-title":"Convex Analysis and Optimization","volume":"1","author":"Bertsekas","year":"2003"},{"key":"ref20","first-page":"4615","article-title":"Agnostic federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mohri"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3169117"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/BF01681332"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2011.6004889"},{"key":"ref24","first-page":"23","article-title":"Multi-way communication channels","volume-title":"Proc. 2nd Int. Symp. Inf. Theory","author":"Ahlswede"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2006.1632656"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2022.3212870"},{"key":"ref27","volume-title":"Principles of Mathematical Analysis","volume":"3","author":"Rudin","year":"1976"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9780511807213"},{"key":"ref29","volume-title":"Wireless Communications","author":"Molisch","year":"2012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/35.601747"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/9781118164419"},{"key":"ref32","volume-title":"Introduction to Optimization. Optimization Software","author":"Polyak","year":"1987"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/BF01584842"},{"key":"ref34","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Karimireddy"}],"container-title":["IEEE Control Systems Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7782633\/10411713\/10531774.pdf?arnumber=10531774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T17:41:24Z","timestamp":1729791684000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10531774\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/lcsys.2024.3402123","relation":{},"ISSN":["2475-1456"],"issn-type":[{"value":"2475-1456","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}