{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T16:40:12Z","timestamp":1783096812216,"version":"3.54.6"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100019065","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2024ZYD0036"],"award-info":[{"award-number":["2024ZYD0036"]}],"id":[{"id":"10.13039\/501100019065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011291","name":"National Key Laboratory of Wireless Communications Foundation","doi-asserted-by":"publisher","award":["IFN20230204"],"award-info":[{"award-number":["IFN20230204"]}],"id":[{"id":"10.13039\/501100011291","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/twc.2025.3567598","type":"journal-article","created":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T13:34:34Z","timestamp":1747229674000},"page":"8535-8550","source":"Crossref","is-referenced-by-count":3,"title":["Over-the-Air Federated Learning Over MIMO Channels: A Sparse-Coded Multiplexing Approach"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2597-9206","authenticated-orcid":false,"given":"Chenxi","family":"Zhong","sequence":"first","affiliation":[{"name":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0433-6535","authenticated-orcid":false,"given":"Xiaojun","family":"Yuan","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437696"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2020.05.003"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2022","journal-title":"arXiv:2208.13141"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.904785"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3002988"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3183295"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3086116"},{"key":"ref13","first-page":"1","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","volume-title":"Proc. ICLR","author":"Lin"},{"key":"ref14","first-page":"1299","article-title":"Gradient sparsification for communication-efficient distributed optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wangni"},{"key":"ref15","first-page":"1","article-title":"The convergence of sparsified gradient methods","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Alistarh"},{"key":"ref16","article-title":"Understanding top-k sparsification in distributed deep learning","author":"Shi","year":"2019","journal-title":"arXiv:1911.08772"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2022.3186538"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3231088"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2351822"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3376771"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2023.3271765"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3221797"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3302335"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2003.821107"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2871070"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2843321"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3090323"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3143217"},{"key":"ref30","volume-title":"LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Layer Procedures","year":"2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2013.6555020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.2365813"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/WiMob55322.2022.9941709"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3188502"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3183869"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3043787"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2021.3139231"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.004.2200913"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2017.8254563"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3140788"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2414951"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3198433"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3201207"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2272287"},{"key":"ref45","volume-title":"Fundamentals of Statistical Signal Processing: Estimation Theory","author":"Kay","year":"1993"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1137\/110830629"},{"key":"ref47","first-page":"3252","article-title":"Error feedback fixes SignSGD and other gradient compression schemes","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"97","author":"Karimireddy"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10228876"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611971453"},{"issue":"4","key":"ref50","first-page":"351","article-title":"Convergence of alternating optimization","volume":"11","author":"Bezdek","year":"2003","journal-title":"Neural, Parallel Sci. Computations"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511841224"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2936025"},{"key":"ref53","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref54","article-title":"Learning multiple layers of features from tiny images","volume-title":"Handbook of Systemic Autoimmune Diseases","volume":"1","author":"Krizhevsky","year":"2009"},{"key":"ref55","first-page":"4387","article-title":"The non-IID data quagmire of decentralized machine learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hsieh"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2593681"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2989580"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2981904"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7693\/11199987\/11004479.pdf?arnumber=11004479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:37:17Z","timestamp":1760161037000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11004479\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":58,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/twc.2025.3567598","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}