{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T14:59:12Z","timestamp":1784213952362,"version":"3.55.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Strategic Capability Research Centres Funding Initiative"},{"DOI":"10.13039\/100010016","name":"NTU","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010016","id-type":"DOI","asserted-by":"publisher"}]},{"name":"AlibabaNTU Singapore Joint Research Institute"},{"name":"Singapore Ministry of Education Academic Research Fund","award":["Tier 1 RG128\/18"],"award-info":[{"award-number":["Tier 1 RG128\/18"]}]},{"name":"Singapore Ministry of Education Academic Research Fund","award":["Tier 1 RG115\/19"],"award-info":[{"award-number":["Tier 1 RG115\/19"]}]},{"name":"Singapore Ministry of Education Academic Research Fund","award":["Tier 1 RT07\/19"],"award-info":[{"award-number":["Tier 1 RT07\/19"]}]},{"name":"Singapore Ministry of Education Academic Research Fund","award":["Tier 1 RT01\/19"],"award-info":[{"award-number":["Tier 1 RT01\/19"]}]},{"name":"Singapore Ministry of Education Academic Research Fund","award":["Tier 2 MOE2019-T2-1-176"],"award-info":[{"award-number":["Tier 2 MOE2019-T2-1-176"]}]},{"name":"NTUWASP Joint Project"},{"name":"Singapore NRF National Satellite of Excellence"},{"name":"Design Science and Technology for Secure Critical Infrastructure","award":["DeSTSCI2019-0012"],"award-info":[{"award-number":["DeSTSCI2019-0012"]}]},{"name":"NTU Project for Large Vertical TakeOff and Landing Research Platform","award":["SRG-ISTD-2021-165"],"award-info":[{"award-number":["SRG-ISTD-2021-165"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971366"],"award-info":[{"award-number":["61971366"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Select. Areas Commun."],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1109\/jsac.2021.3088655","type":"journal-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T19:49:40Z","timestamp":1623700180000},"page":"3144-3159","source":"Crossref","is-referenced-by-count":275,"title":["Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management"],"prefix":"10.1109","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9697-7470","authenticated-orcid":false,"given":"Helin","family":"Yang","sequence":"first","affiliation":[{"name":"Strategic Centre for Research in Privacy-Preserving Technologies, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3004-7091","authenticated-orcid":false,"given":"Jun","family":"Zhao","sequence":"additional","affiliation":[{"name":"Strategic Centre for Research in Privacy-Preserving Technologies, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4440-941X","authenticated-orcid":false,"given":"Zehui","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7479-7970","authenticated-orcid":false,"given":"Kwok-Yan","family":"Lam","sequence":"additional","affiliation":[{"name":"Strategic Centre for Research in Privacy-Preserving Technologies, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1701-8122","authenticated-orcid":false,"given":"Sumei","family":"Sun","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2402-611X","authenticated-orcid":false,"given":"Liang","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref35","article-title":"Deep reinforcement learning based dynamic trajectory control for UAV-assisted mobile edge computing","author":"wang","year":"2021","journal-title":"IEEE Trans Mobile Comput"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref34","article-title":"Deep reinforcement learning for unmanned aerial vehicle-assisted vehicular networks","author":"zhu","year":"2019","journal-title":"arXiv 1906 05015"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2014.2342736"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486403"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900262"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2960765"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2789293"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3017281"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3012756"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148776"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3014788"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800250"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900207"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3003744"},{"key":"ref39","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2973651"},{"key":"ref38","author":"sutton","year":"1998","journal-title":"Introduction to Reinforcement Learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref24","article-title":"Learning in the air: Secure federated learning for UAV-assisted crowdsensing","author":"wang","year":"2020","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"ref23","article-title":"HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks","author":"fadlullah","year":"2020","journal-title":"IEEE Trans Emerg Topics Comput"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2924180"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2865922"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3021006"},{"key":"ref42","article-title":"Fully decentralized multi-agent reinforcement learning with networked agents","author":"zhang","year":"2018","journal-title":"arXiv 1802 08757"},{"key":"ref41","first-page":"1","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume":"abs 1801 1290","author":"haarnoja","year":"2018","journal-title":"CoRR"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3041345"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3056341"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3023816"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3003662"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2892131"},{"key":"ref8","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"2017","journal-title":"Proc 20th Int Conf Artif Intell Stat"},{"key":"ref7","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n\u00fd","year":"2016","journal-title":"arXiv 1610 05492"},{"key":"ref9","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016","journal-title":"arXiv 1609 04747"},{"key":"ref4","article-title":"5G-and-beyond networks with UAVs: From communications to sensing and intelligence","author":"wu","year":"2020","journal-title":"arXiv 2010 09317"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2952892"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2018.1800221"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2981430"},{"key":"ref40","first-page":"26","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tijmen","year":"2012","journal-title":"Proc COURSERA Neural Netw Mach Learn"}],"container-title":["IEEE Journal on Selected Areas in Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/49\/9537937\/09453811.pdf?arnumber=9453811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T14:54:35Z","timestamp":1680706475000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9453811\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":42,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/jsac.2021.3088655","relation":{},"ISSN":["0733-8716","1558-0008"],"issn-type":[{"value":"0733-8716","type":"print"},{"value":"1558-0008","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10]]}}}