{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:20:26Z","timestamp":1740100826992,"version":"3.37.3"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,16]]},"DOI":"10.1109\/icc45855.2022.9838490","type":"proceedings-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T19:37:11Z","timestamp":1660246631000},"page":"4486-4491","source":"Crossref","is-referenced-by-count":0,"title":["A Random Access based Approach to Communication-Efficient Distributed SGD"],"prefix":"10.1109","author":[{"given":"Jinho","family":"Choi","sequence":"first","affiliation":[{"name":"Deakin University,School of Information Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/TIT.2007.904785"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TSP.2013.2272921"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/MNET.011.2000317"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/JIOT.2020.3012449"},{"key":"ref14","first-page":"560","article-title":"signSGD: Compressed optimisation for non-convex problems","volume":"80","author":"bernstein","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref15","article-title":"vqSGD: Vector quantized stochastic gradient descent","author":"gandikota","year":"2019","journal-title":"CoRR"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TWC.2010.092810.091092"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/TVT.2020.2984369"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1137\/16M1080173"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/JIOT.2020.2964162"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TCOMM.2019.2956472"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/TWC.2019.2946245"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TWC.2020.2974748"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1145\/3298981"},{"year":"2016","author":"konecn\u00fd","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","key":"ref1"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/TWC.2019.2961673"}],"event":{"name":"ICC 2022 - IEEE International Conference on Communications","start":{"date-parts":[[2022,5,16]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2022,5,20]]}},"container-title":["ICC 2022 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9837954\/9838246\/09838490.pdf?arnumber=9838490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T20:04:24Z","timestamp":1663013064000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9838490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icc45855.2022.9838490","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]}}}