{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T15:45:20Z","timestamp":1783611920983,"version":"3.55.0"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"17","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-2148178"],"award-info":[{"award-number":["CNS-2148178"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2023,9,1]]},"DOI":"10.1109\/jiot.2023.3264463","type":"journal-article","created":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T17:53:02Z","timestamp":1680717182000},"page":"15515-15525","source":"Crossref","is-referenced-by-count":34,"title":["Deep-Reinforcement-Learning-Assisted Client Selection in Nonorthogonal-Multiple-Access-Based Federated Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5208-9743","authenticated-orcid":false,"given":"Rana","family":"Albelaihi","sequence":"first","affiliation":[{"name":"Department of Electrical and Computing Engineering, University of New Mexico, Albuquerque, NM, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1613-0053","authenticated-orcid":false,"given":"Akhil","family":"Alasandagutti","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of New Mexico, Albuquerque, NM, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4062-2499","authenticated-orcid":false,"given":"Liangkun","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computing Engineering, University of New Mexico, Albuquerque, NM, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5828-9124","authenticated-orcid":false,"given":"Jingjing","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6954-7018","authenticated-orcid":false,"given":"Xiang","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computing Engineering, University of New Mexico, Albuquerque, NM, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001678"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3183996"},{"key":"ref12","article-title":"Actor-critic algorithms","volume":"12","author":"konda","year":"1999","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2024789118"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149138"},{"key":"ref37","article-title":"Fairness and accuracy in federated learning","author":"huang","year":"2020","journal-title":"arXiv 2012 10069"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3040887"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3176739"},{"key":"ref31","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"},{"key":"ref30","first-page":"1","article-title":"Actor-critic algorithms","volume":"12","author":"konda","year":"1999","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2020.10.003"},{"key":"ref33","article-title":"LTE; evolved universal terrestrial radio access (E-UTRA); radio frequency (RF) requirements for LTE Pico node B","year":"2011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2017.7925935"},{"key":"ref32","author":"hintjens","year":"2013","journal-title":"Zeromq Messaging for Many Applications"},{"key":"ref2","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n\u00fd","year":"2016","journal-title":"arXiv 1610 05492"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2016.1600492CM"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103715"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685077"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3027306"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3146349"},{"key":"ref26","article-title":"Wireless federated learning (WFL) for 6G networks—Part II: The compute-then-transmit NOMA paradigm","author":"bouzinis","year":"2021","journal-title":"arXiv 2104 12005"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322270"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001569"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2725519"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2764418"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2014.12.019"},{"key":"ref27","article-title":"Delay minimization for federated learning over wireless communication networks","author":"yang","year":"2020","journal-title":"arXiv 2007 03462"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6377(92)90008-Q"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref7","author":"li","year":"2018","journal-title":"Federated Optimization in Heterogeneous Networks"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3132932"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref3","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":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3076167"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3022590"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6488907\/10227658\/10092890-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10227658\/10092890.pdf?arnumber=10092890","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T19:14:51Z","timestamp":1694459691000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10092890\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,1]]},"references-count":37,"journal-issue":{"issue":"17"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2023.3264463","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,1]]}}}