{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T07:40:12Z","timestamp":1765438812843,"version":"3.37.3"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Government through the Australian Research Council\u2019s Discovery Projects funding Scheme","doi-asserted-by":"publisher","award":["DP200100391"],"award-info":[{"award-number":["DP200100391"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Areas Inf. Theory"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/jsait.2022.3188585","type":"journal-article","created":{"date-parts":[[2022,7,5]],"date-time":"2022-07-05T19:21:57Z","timestamp":1657048917000},"page":"206-216","source":"Crossref","is-referenced-by-count":11,"title":["Communication-Efficient Distributed SGD Using Random Access for Over-the-Air Computation"],"prefix":"10.1109","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4895-6680","authenticated-orcid":false,"given":"Jinho","family":"Choi","sequence":"first","affiliation":[{"name":"School of Information Technology, Deakin University, Geelong, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.904785"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2272921"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2016.7565189"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2985932"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2019.2960243"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000317"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3012449"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref28"},{"key":"ref4","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"kone?n\u00fd","year":"2016","journal-title":"arXiv 1610 02527"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2010.092810.091092"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3377454"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1137\/16M1080173"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2956472"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2984369"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2964162"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.121.2100135"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3039309"},{"key":"ref21","article-title":"1-bit compressive sensing for efficient federated learning over the air","author":"fan","year":"2021","journal-title":"arXiv 2103 16055"},{"key":"ref24","first-page":"560","article-title":"signSGD: Compressed optimisation for non-convex problems","volume":"80","author":"bernstein","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref23","first-page":"2197","article-title":"vqSGD: Vector Quantized stochastic gradient descent","volume":"130","author":"gandikota","year":"2021","journal-title":"Proc 24th Int Conf Artif Intell Stat"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781316799895"},{"key":"ref25","first-page":"1709","article-title":"QSGD: Communication-efficient SGD via gradient Quantization and encoding","volume":"30","author":"alistarh","year":"2017","journal-title":"Advances in neural information processing systems"}],"container-title":["IEEE Journal on Selected Areas in Information Theory"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8700143\/9953899\/09815298.pdf?arnumber=9815298","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:44:25Z","timestamp":1670874265000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9815298\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":28,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jsait.2022.3188585","relation":{},"ISSN":["2641-8770"],"issn-type":[{"type":"electronic","value":"2641-8770"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}