{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T05:02:51Z","timestamp":1780462971991,"version":"3.54.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"U.S. National Science Foundation","doi-asserted-by":"publisher","award":["CNS-2114267"],"award-info":[{"award-number":["CNS-2114267"]}],"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":[[2024,2]]},"DOI":"10.1109\/twc.2023.3289177","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T17:32:06Z","timestamp":1688146326000},"page":"1386-1402","source":"Crossref","is-referenced-by-count":40,"title":["Green, Quantized Federated Learning Over Wireless Networks: An Energy-Efficient Design"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7556-8958","authenticated-orcid":false,"given":"Minsu","family":"Kim","sequence":"first","affiliation":[{"name":"Bradley Department of Electrical and Computer Engineering, Wireless&#x0040;VT Group, Virginia Tech, Arlington, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2247-2458","authenticated-orcid":false,"given":"Walid","family":"Saad","sequence":"additional","affiliation":[{"name":"Bradley Department of Electrical and Computer Engineering, Wireless&#x0040;VT Group, Virginia Tech, Arlington, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2556-115X","authenticated-orcid":false,"given":"Mohammad","family":"Mozaffari","sequence":"additional","affiliation":[{"name":"Ericsson Research, Santa Clara, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8941-8080","authenticated-orcid":false,"given":"M\u00e9rouane","family":"Debbah","sequence":"additional","affiliation":[{"name":"Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838362"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3381831"},{"key":"ref4","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2016","journal-title":"arXiv:1602.05629"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2017.8335699"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tgcn.2022.3186439"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3088910"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488679"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154285"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3039309"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1631\/fitee.2100538"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3087125"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2022.3213766"},{"key":"ref16","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","author":"Hubara","year":"2016","journal-title":"arXiv:1609.07061"},{"key":"ref17","article-title":"Deep learning with limited numerical precision","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Gupta"},{"key":"ref18","article-title":"DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"Zhou","year":"2016","journal-title":"arXiv:1606.06160"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041388"},{"key":"ref20","volume-title":"Embedded Deep Learning, Algorithms, Architectures and Circuits for Always-on Neural Network Processing","author":"Moons","year":"2018"},{"key":"ref21","first-page":"2943","article-title":"Rigging the lottery: Making all tickets winners","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Evci"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2330661"},{"key":"ref23","first-page":"1","article-title":"On the convergence of FedAvg on non-iid data","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Li"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/cdc.2012.6426691"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/s1052623496307510"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmaa.2009.09.056"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/sj.jors.2600425"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511895043"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2008.080904"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.893755"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01892-0"},{"key":"ref33","first-page":"1","article-title":"Variance reduced stochastic gradient descent with neighbors","volume-title":"Proc. Neural Inf. Process. Syst. (NeurIPS)","author":"Hofmann"},{"key":"ref34","first-page":"3824","article-title":"Exploiting local convergence of quasi-newton methods globally: Adaptive sample size approach","volume-title":"Proc. Neural Inf. Process. Syst. (NeurIPS)","author":"Jin"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178365"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LNET.2019.2947144"},{"key":"ref37","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Statist. (AISTATS)","author":"Reisizadeh"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/7693\/10433269\/10171192-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/10433269\/10171192.pdf?arnumber=10171192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T12:57:20Z","timestamp":1709297840000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10171192\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":37,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/twc.2023.3289177","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}