{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T17:11:51Z","timestamp":1780420311373,"version":"3.54.1"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council (EPSRC) through the Scalable Full Duplex Dense Wireless Networks","doi-asserted-by":"publisher","award":["EP\/P003486\/1"],"award-info":[{"award-number":["EP\/P003486\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"U.S. National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1814477"],"award-info":[{"award-number":["CNS-1814477"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1109\/twc.2020.3037554","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T05:01:49Z","timestamp":1605848509000},"page":"1935-1949","source":"Crossref","is-referenced-by-count":946,"title":["Energy Efficient Federated Learning Over Wireless Communication Networks"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4475-589X","authenticated-orcid":false,"given":"Zhaohui","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2570-703X","authenticated-orcid":false,"given":"Mingzhe","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2247-2458","authenticated-orcid":false,"given":"Walid","family":"Saad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3484-7333","authenticated-orcid":false,"given":"Choong Seon","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7450-7574","authenticated-orcid":false,"given":"Mohammad","family":"Shikh-Bahaei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-01595-8_16"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.13.7.492"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3042530"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145118"},{"key":"ref31","article-title":"Federated learning via over-the-air computation","author":"yang","year":"2018","journal-title":"arXiv 1812 11750"},{"key":"ref30","article-title":"Energy-aware analog aggregation for federated learning with redundant data","author":"sun","year":"2019","journal-title":"arXiv 1911 00188"},{"key":"ref37","first-page":"2675","article-title":"Natasha 2: Faster non-convex optimization than SGD","author":"allen-zhu","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","first-page":"1000","article-title":"Communication-efficient distributed optimization using an approximate newton-type method","author":"shamir","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2016.2611964"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref10","article-title":"Distributed federated learning for ultra-reliable low-latency vehicular communications","author":"samarakoon","year":"2018","journal-title":"arXiv 1807 08127"},{"key":"ref40","article-title":"Measuring the effects of data parallelism on neural network training","author":"shallue","year":"2018","journal-title":"arXiv 1811 03600"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"2184","DOI":"10.1109\/JSAC.2019.2933969","article-title":"Machine learning in the air","volume":"37","author":"g\u00fcnd\u00fcz","year":"2019","journal-title":"IEEE J Sel Areas Commun"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2926625"},{"key":"ref13","article-title":"Hierarchical federated learning across heterogeneous cellular networks","author":"abad","year":"2019","journal-title":"arXiv 1909 02362"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref15","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","author":"karimireddy","year":"2019","journal-title":"arXiv 1910 06378"},{"key":"ref16","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2016","journal-title":"arXiv 1602 05629"},{"key":"ref17","first-page":"4424","article-title":"Federated multi-task learning","author":"smith","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref28","article-title":"Broadband analog aggregation for low-latency federated edge learning (extended version)","author":"zhu","year":"2018","journal-title":"arXiv 1812 11494"},{"key":"ref4","article-title":"When machine learning meets big data: A wireless communication perspective","author":"liu","year":"2019","journal-title":"arXiv 1901 08329"},{"key":"ref27","article-title":"Towards an intelligent edge: Wireless communication meets machine learning","author":"zhu","year":"2018","journal-title":"arXiv 1809 00343"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2924243"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900287"},{"key":"ref29","article-title":"Cell-free massive MIMO for wireless federated learning","author":"vu","year":"2019","journal-title":"arXiv 1909 12567"},{"key":"ref5","article-title":"Towards federated learning at scale: System design","author":"bonawitz","year":"2019","journal-title":"arXiv 1902 01046"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2942929"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2941458"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486403"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1201\/9781315216881"},{"key":"ref1","first-page":"1","article-title":"Delay minimization for federated learning over wireless communication networks","author":"yang","year":"2020","journal-title":"Proc Int Conf Mach Learn Workshop"},{"key":"ref20","article-title":"Multi-hop federated private data augmentation with sample compression","author":"jeong","year":"2019","journal-title":"arXiv 1907 06426"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2680898"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2019.8904164"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2018.2846241"},{"key":"ref41","article-title":"Don’t use large mini-batches, use local SGD","author":"lin","year":"2018","journal-title":"arXiv 1808 07217"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2751045"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849334"},{"key":"ref25","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"kone?n\u00fd","year":"2016","journal-title":"arXiv 1610 02527"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/7693\/9374131\/9264742-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/9374131\/09264742.pdf?arnumber=9264742","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:50:51Z","timestamp":1649443851000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9264742\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":41,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/twc.2020.3037554","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}