{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T09:15:56Z","timestamp":1780046156855,"version":"3.53.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shenzhen Science and Technology Program","award":["JCYJ20180508152046428"],"award-info":[{"award-number":["JCYJ20180508152046428"]}]},{"name":"Young Talent of Special Support Program of Guangdong Province","award":["2021TQ06X117"],"award-info":[{"award-number":["2021TQ06X117"]}]},{"name":"Major Key Project of PCL","award":["PCL2021A02"],"award-info":[{"award-number":["PCL2021A02"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61802221"],"award-info":[{"award-number":["61802221"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1109\/tvt.2023.3250273","type":"journal-article","created":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T18:24:00Z","timestamp":1677695040000},"page":"9434-9447","source":"Crossref","is-referenced-by-count":13,"title":["Efficiency-Boosting Federated Learning in Wireless Networks: A Long-Term Perspective"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0369-8745","authenticated-orcid":false,"given":"Yun","family":"Ji","sequence":"first","affiliation":[{"name":"Key Laboratory of Advanced Sensor and Integrated System, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9307-6247","authenticated-orcid":false,"given":"Xiaoxiong","family":"Zhong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Sensor and Integrated System, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhoubin","family":"Kou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Sensor and Integrated System, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2170-2602","authenticated-orcid":false,"given":"Sheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Sensor and Integrated System, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hangfan","family":"Li","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7296-9222","authenticated-orcid":false,"given":"Yuanyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1","article-title":"Scaffold: Stochastic controlled averaging for on-device federated learning","author":"karimireddy","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149138"},{"key":"ref12","article-title":"Advances and open problems in federated learning,” 2019","author":"kairouz","year":"0"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145118"},{"key":"ref15","article-title":"Federated learning with Non-IID data,” 2018","author":"zhao","year":"0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2967772"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036952"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2021-Fall52928.2021.9625056"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148862"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041388"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS47924.2020.00033"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2018.01.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001492"},{"key":"ref17","article-title":"Variational federated multi-task learning,” 2022","author":"corinzia","year":"0"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-003-0368-6"},{"key":"ref16","first-page":"4424","article-title":"Federated multi-task learning","volume":"30","author":"smith","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3056341"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3338501.3357370"},{"key":"ref24","first-page":"429","article-title":"Federated optimization in heterogeneous networks","author":"li","year":"0","journal-title":"Proc 3rd MLSys Conf"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-46147-8_13"},{"key":"ref26","article-title":"Federated: Strategies for improving communication efficiency","author":"kone?n\u00fd","year":"2022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2994391"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref22","article-title":"Fair resource allocation in federated learning,” 2022","author":"li","year":"0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3040887"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref28","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"kone?n\u00fd","year":"2022"},{"key":"ref27","first-page":"1709","article-title":"QSGD: Communication-efficient SGD via gradient quantization and encoding","volume":"30","author":"alistarh","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","first-page":"2022","article-title":"Expanding the reach of federated learning by reducing client resource requirements","author":"caldas","year":"0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC51323.2021.9498853"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3035770"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"0","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IoTDI49375.2020.00017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-79995-2"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/10186246\/10057044.pdf?arnumber=10057044","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:11:23Z","timestamp":1691431883000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10057044\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7]]},"references-count":43,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2023.3250273","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7]]}}}