{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:17:31Z","timestamp":1761808651936},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T00:00:00Z","timestamp":1701648000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T00:00:00Z","timestamp":1701648000000},"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":[[2023,12,4]]},"DOI":"10.1109\/globecom54140.2023.10437951","type":"proceedings-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T19:45:36Z","timestamp":1708976736000},"page":"1345-1350","source":"Crossref","is-referenced-by-count":1,"title":["Asynchronous Federated Learning via Over-the-Air Computation"],"prefix":"10.1109","author":[{"given":"Zijian","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK"}]},{"given":"Yansha","family":"Deng","sequence":"additional","affiliation":[{"name":"King's College London,Department of Engineering,London,UK"}]},{"given":"Xiaonan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK"}]},{"given":"Arumugam","family":"Nallanathan","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. AISTATS","author":"McMahan","year":"2016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106775"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2023.3264649"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2023.100595"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3189601"},{"journal-title":"FedAT: A communication-efficient federated learning method with asynchronous tiers under non-IID data","year":"2020","author":"Chai","key":"ref6"},{"key":"ref7","first-page":"1","article-title":"Pruning convolutional neural networks for resource efficient inference","volume-title":"Proc. ICLR","author":"Molchanov","year":"2017"},{"journal-title":"Asynchronous federated optimization","year":"2019","author":"Xie","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.2996194"}],"event":{"name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","start":{"date-parts":[[2023,12,4]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2023,12,8]]}},"container-title":["GLOBECOM 2023 - 2023 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10436708\/10436716\/10437951.pdf?arnumber=10437951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T02:04:33Z","timestamp":1709258673000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10437951\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,4]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/globecom54140.2023.10437951","relation":{},"subject":[],"published":{"date-parts":[[2023,12,4]]}}}