{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T05:35:16Z","timestamp":1775280916174,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/allerton.2019.8919883","type":"proceedings-article","created":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T04:23:39Z","timestamp":1575606219000},"page":"303-307","source":"Crossref","is-referenced-by-count":8,"title":["A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels"],"prefix":"10.1109","author":[{"given":"Tomer","family":"Sery","sequence":"first","affiliation":[{"name":"Ben-Gurion University of the Negev,School of Electrical and Computer Engineering,Beer Sheva,Israel,8410501"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kobi","family":"Cohen","sequence":"additional","affiliation":[{"name":"Ben-Gurion University of the Negev,School of Electrical and Computer Engineering,Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Collaborative machine learning at the wireless edge with blind transmitters","author":"amiri","year":"2019","journal-title":"arXiv preprint arXiv 1907 09977"},{"key":"ref38","article-title":"Federated learning over wireless fading channels","author":"amiri","year":"2019","journal-title":"arXiv preprint arXiv 1907 09977"},{"key":"ref33","article-title":"Exploiting spatial correlation in energy constrained distributed detection","author":"maya","year":"2015","journal-title":"arXiv preprint arXiv 1509 04119"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2407323"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2293970"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2012.2232348"},{"key":"ref37","article-title":"Over-the-air machine learning at the wire-less edge","author":"amiri","year":"2019","journal-title":"Proc IEEE Int Workshop on Signal Process Advances in Wireless Commun (SPAWC)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849334"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2873512"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2592103"},{"key":"ref10","first-page":"1035","article-title":"Asymptotically consistent one-bit detection in large sensor networks","author":"braca","year":"2011","journal-title":"Proc European Signal Process Conf"},{"key":"ref40","article-title":"Low-latency broadband analog aggregation for federated edge learning","author":"zhu","year":"2018","journal-title":"arXiv preprint arXiv 1812 11467"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2116015"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2180720"},{"key":"ref13","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"kone?n?","year":"2016","journal-title":"arXiv preprint arXiv 1610 09756"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2655492"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2017.8254101"},{"key":"ref16","first-page":"5050","article-title":"Lag: Lazily aggregated gradient for communication-efficient distributed learning","author":"chen","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.23919\/ICIF.2018.8454976"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437583"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/NCG.2018.8593074"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.890821"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2007.4487280"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.887564"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896034"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.919101"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2157501"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.909355"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2052459"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/080726380"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/040615961"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2011.110916"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2003.1289329"},{"key":"ref46","article-title":"UCI machine learning repository","author":"lichman","year":"2013","journal-title":"University of California Irvine School of Information and Computer Sciences"},{"key":"ref20","article-title":"Learning in restless multi-armed bandits via adaptive arm sequencing rules","author":"gafni","year":"2019","journal-title":"arXiv preprint arXiv 1906 03008"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2015.2442156"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref47","article-title":"The million song dataset","author":"bertin-mahieux","year":"2011","journal-title":"Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2879433"},{"key":"ref42","article-title":"Energy-efficient radio resource allocation for federated edge learning","author":"zeng","year":"2019","journal-title":"arXiv preprint arXiv 1907 09977"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2005.861896"},{"key":"ref41","article-title":"Broadband analog aggregation for low-latency federated edge learning (extended version)","author":"zhu","year":"2018","journal-title":"arXiv preprint arXiv 1812 11467"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2922658"},{"key":"ref44","article-title":"On analog gradient descent learning over multiple access fading channels","author":"sery","year":"2019","journal-title":"arXiv preprint arXiv 1908 07463"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.899391"},{"key":"ref43","article-title":"Federated learning via over-the-air computation","author":"yang","year":"2018","journal-title":"arXiv preprint arXiv 1812 11467"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896302"}],"event":{"name":"2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","location":"Monticello, IL, USA","start":{"date-parts":[[2019,9,24]]},"end":{"date-parts":[[2019,9,27]]}},"container-title":["2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8911248\/8919648\/08919883.pdf?arnumber=8919883","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:52:03Z","timestamp":1774986723000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8919883\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/allerton.2019.8919883","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}