{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T15:49:16Z","timestamp":1783007356966,"version":"3.54.5"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"China National Postdoctoral Program","award":["BX20230057"],"award-info":[{"award-number":["BX20230057"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62401115"],"award-info":[{"award-number":["62401115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tnse.2025.3546333","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T19:04:05Z","timestamp":1740596645000},"page":"2217-2230","source":"Crossref","is-referenced-by-count":4,"title":["Efficient Federated Learning in Wireless Networks With Incremental Model Quantization and Uploading"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7150-8492","authenticated-orcid":false,"given":"Zheng","family":"Qin","sequence":"first","affiliation":[{"name":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2512-2392","authenticated-orcid":false,"given":"Gang","family":"Feng","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3019-5795","authenticated-orcid":false,"given":"YiJing","family":"Liu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9399-3643","authenticated-orcid":false,"given":"Takshing P.","family":"Yum","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Wang","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company Ltd., Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company Ltd., Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIPNP57450.2022.00019"},{"key":"ref2","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2923733"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2023.100595"},{"key":"ref6","first-page":"3622","article-title":"Qupel: Quantized personalization with applications to federated learning","volume":"34","author":"Ozkara","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3076613"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126057"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3397335"},{"key":"ref10","first-page":"1707","article-title":"QSGD: Communication-efficient SGD via gradient quantization and encoding","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Alistarh","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413697"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001205"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3199490"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3202645"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2985039"},{"key":"ref16","first-page":"9872","article-title":"ATOMO: Communication-efficient learning via atomic sparsification","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Wang","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC53906.2023.10304559"},{"key":"ref18","first-page":"1","article-title":"Communication efficient federated learning over multiple access channels","volume-title":"Proc. 2020 IEEE Global Commun. Conf.","author":"Chang","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3213766"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3222717"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICACRS55517.2022.10028742"},{"key":"ref22","first-page":"28092","article-title":"Post-training quantization for vision transformer","volume-title":"Proc. Neural Inf. Process. Syst.","volume":"34","author":"Liu","year":"2021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2932876"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054168"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3046971"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3201207"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3234944.3234978"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC55385.2023.10118781"},{"key":"ref29","first-page":"8852","article-title":"DAdaQuant: Doubly-adaptive quantization for communication-efficient federated learning","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Hnig","year":"2022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.hcc.2021.100008"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3087125"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.2100538"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3258485"},{"key":"ref34","article-title":"On the convergence of FEDAVG on non-IID data","author":"Li","year":"2019"},{"key":"ref35","first-page":"4452","article-title":"Sparsified SGD with memory","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Stich","year":"2018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2012.6426691"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3181611"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/EuCAP.2014.6901730"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/EuCAP.2016.7481754"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref42","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"key":"ref43","first-page":"3329","article-title":"Distributed mean estimation with limited communication","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Suresh","year":"2017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671897"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2024.101098"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488902\/10975856\/10906453.pdf?arnumber=10906453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T17:41:38Z","timestamp":1745602898000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10906453\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":45,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnse.2025.3546333","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"value":"2327-4697","type":"electronic"},{"value":"2334-329X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}