{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:11:08Z","timestamp":1782483068585,"version":"3.54.5"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2023YJS104"],"award-info":[{"award-number":["2023YJS104"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Rel."],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1109\/tr.2024.3480117","type":"journal-article","created":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T13:30:43Z","timestamp":1730208643000},"page":"3559-3572","source":"Crossref","is-referenced-by-count":6,"title":["UAV-Enabled Energy-Efficient Aerial Computing: A Federated Deep Reinforcement Learning Approach"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8467-4034","authenticated-orcid":false,"given":"Qianqian","family":"Wu","sequence":"first","affiliation":[{"name":"Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5735-8642","authenticated-orcid":false,"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1603-9375","authenticated-orcid":false,"given":"Ying","family":"He","sequence":"additional","affiliation":[{"name":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zefan","family":"Wu","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3160691"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3062546"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2019.8885892"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2023.103670"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.12.140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102706"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3192020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3190371"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3159703"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2023.3335037"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.105.2100389"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3165227"},{"key":"ref13","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"Mcmahan","year":"2017","journal-title":"Artif. Intell. Statist."},{"key":"ref14","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","author":"Karimireddy","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS47924.2020.00033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3150004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3056341"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3220677"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3102185"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3019186"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2021.101381"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2021.3126795"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3028011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3026033"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2956224"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3167110"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2911939"}],"container-title":["IEEE Transactions on Reliability"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/24\/11152618\/10737313.pdf?arnumber=10737313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T17:44:58Z","timestamp":1757353498000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10737313\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":27,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tr.2024.3480117","relation":{},"ISSN":["0018-9529","1558-1721"],"issn-type":[{"value":"0018-9529","type":"print"},{"value":"1558-1721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9]]}}}