{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:38:28Z","timestamp":1775745508847,"version":"3.50.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3050172","type":"journal-article","created":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T22:37:00Z","timestamp":1610231820000},"page":"10400-10412","source":"Crossref","is-referenced-by-count":29,"title":["Dynamic Federated Learning for GMEC With Time-Varying Wireless Link"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2655-5659","authenticated-orcid":false,"given":"Shaolei","family":"Zhai","sequence":"first","affiliation":[]},{"given":"Xin","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Ling","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Hongxuan","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Min","family":"Cao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IECON43393.2020.9255001"},{"key":"ref10","first-page":"183","article-title":"Edge computing node placement in 5G networks: A latency and reliability constrained framework","author":"gonz\u00e1lez","year":"2019","journal-title":"Proc 6th IEEE Int Conf Cyber Secur Cloud Comput (CSCloud) 5th IEEE Int Conf Edge Comput Scalable Cloud (EdgeCom)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC47284.2019.8969784"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT-Asia.2017.8378414"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SEST.2019.8849012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICII.2018.00019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2019.8766607"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3007742"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2019.8766672"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WiMOB.2019.8923222"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2016.7588230"},{"key":"ref28","first-page":"1","article-title":"DRAW: A recurrent neural network for image generation","author":"gregor","year":"2015","journal-title":"arXiv 1502 04623"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2579198"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2019.02.009"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922992"},{"key":"ref29","year":"2020","journal-title":"The mnist"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2342509.2342513"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref7","article-title":"Federated learning of deep networks using model averaging","author":"mcmahan","year":"2016","journal-title":"arXiv 1602 05629"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2019.102024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2855198"},{"key":"ref1","author":"gomez-exposito","year":"2018","journal-title":"Electric Energy Systems Analysis and Operation"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAIE.2018.8405449"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800254"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2018.8450506"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148937"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3377454"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013587"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09317862.pdf?arnumber=9317862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:17Z","timestamp":1639771037000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9317862\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3050172","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}