{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T15:39:25Z","timestamp":1782574765210,"version":"3.54.5"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001107"],"award-info":[{"award-number":["62001107"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62073039"],"award-info":[{"award-number":["62073039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Fund of National Mobile Communications Research Laboratory, Southeast University","award":["2023A03"],"award-info":[{"award-number":["2023A03"]}]},{"name":"Big Data Computing Center of Southeast University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/twc.2023.3327809","type":"journal-article","created":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T18:16:12Z","timestamp":1698948972000},"page":"5680-5693","source":"Crossref","is-referenced-by-count":11,"title":["Resource Management for MEC Assisted Multi-Layer Federated Learning Framework"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3316-6528","authenticated-orcid":false,"given":"Huibo","family":"Li","sequence":"first","affiliation":[{"name":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9619-2814","authenticated-orcid":false,"given":"Yijin","family":"Pan","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3021-5013","authenticated-orcid":false,"given":"Huiling","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Kent, Canterbury, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8719-2620","authenticated-orcid":false,"given":"Peng","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0881-3594","authenticated-orcid":false,"given":"Jiangzhou","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Kent, Canterbury, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900103"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.future.2017.02.006","article-title":"Multi-key privacy-preserving deep learning in cloud computing","volume":"74","author":"Li","year":"2017","journal-title":"Future Gener. Comput. Syst."},{"key":"ref5","first-page":"4427","article-title":"Federated multi-task learning","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Smith"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800286"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900287"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3090331"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tpds.2022.3206480"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2921755"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2967371"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2015.2487344"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946140"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2016.2633522"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2579198"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036971"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145118"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3055523"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2023.3239189"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149323"},{"key":"ref24","article-title":"Multi-layer personalized federated learning for mitigating biases in student predictive analytics","author":"Chu","year":"2022","journal-title":"arXiv:2212.02985"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/10556788.2017.1298596"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1080\/10556788.2016.1278445"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3007751"},{"key":"ref29","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148862"},{"issue":"2","key":"ref31","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1016\/S0377-2217(99)00265-9","article-title":"Unbounded knapsack problem: Dynamic programming revisited","volume":"123","author":"Andonov","year":"2000","journal-title":"Eur. J. Oper. Res."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.936019"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2005.1523632"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2009.2035798"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970791"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3066650"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/10554340\/10305510.pdf?arnumber=10305510","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T05:20:11Z","timestamp":1725340811000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10305510\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":36,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/twc.2023.3327809","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}