{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:27:50Z","timestamp":1771025270648,"version":"3.50.1"},"reference-count":13,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2021YFH0014"],"award-info":[{"award-number":["2021YFH0014"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071090"],"award-info":[{"award-number":["62071090"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"General Research Fund established by Hong Kong Research Grants Council","award":["14201920"],"award-info":[{"award-number":["14201920"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Wireless Commun. Lett."],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1109\/lwc.2021.3102601","type":"journal-article","created":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T20:13:58Z","timestamp":1628194438000},"page":"2440-2444","source":"Crossref","is-referenced-by-count":15,"title":["CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5246-8399","authenticated-orcid":false,"given":"Hang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0433-6535","authenticated-orcid":false,"given":"Xiaojun","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7304-6849","authenticated-orcid":false,"given":"Ying-Jun Angela","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref11","author":"xiao","year":"2017","journal-title":"Fashion-mnist a novel image dataset for benchmarking machine learning algorithms"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024887"},{"key":"ref13","author":"amiri","year":"2020","journal-title":"Convergence of federated learning over a noisy downlink"},{"key":"ref4","author":"amiri","year":"2020","journal-title":"Blind federated edge learning"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511807213"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3051897"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000256"},{"key":"ref8","author":"wang","year":"2020","journal-title":"Federated learning via intelligent reflecting surface"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2922609"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref9","article-title":"Reconfigurable intelligent surface enabled federated learning: A unified communication-learning design approach","author":"liu","year":"2021","journal-title":"IEEE Trans Wireless Commun"},{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"2017","journal-title":"Proc 20th Int Conf Artif Intell Stat"}],"container-title":["IEEE Wireless Communications Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962382\/9606802\/09507548.pdf?arnumber=9507548","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:15Z","timestamp":1652194395000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9507548\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11]]},"references-count":13,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/lwc.2021.3102601","relation":{},"ISSN":["2162-2337","2162-2345"],"issn-type":[{"value":"2162-2337","type":"print"},{"value":"2162-2345","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11]]}}}