{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T14:42:25Z","timestamp":1783521745159,"version":"3.55.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2023,3,1]]},"DOI":"10.1109\/jiot.2022.3218755","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T01:39:07Z","timestamp":1667525947000},"page":"4677-4687","source":"Crossref","is-referenced-by-count":22,"title":["Adaptive Upgrade of Client Resources for Improving the Quality of Federated Learning Model"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4281-4382","authenticated-orcid":false,"given":"Sawsan","family":"AbdulRahman","sequence":"first","affiliation":[{"name":"Department of Software Engineering and IT, École de Technologie Supérieure, Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hakima","family":"Ould-Slimane","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Université de Québec à Trois-Rivières, Trois-Rivières, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rasel","family":"Chowdhury","sequence":"additional","affiliation":[{"name":"Department of Software Engineering and IT, École de Technologie Supérieure, Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9434-5322","authenticated-orcid":false,"given":"Azzam","family":"Mourad","sequence":"additional","affiliation":[{"name":"Department of CSM, Cyber Security Systems and Applied AI Research Center, Lebanese American University, Beirut, Lebanon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chamseddine","family":"Talhi","sequence":"additional","affiliation":[{"name":"Department of Software Engineering and IT, École de Technologie Supérieure, Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8972-8094","authenticated-orcid":false,"given":"Mohsen","family":"Guizani","sequence":"additional","affiliation":[{"name":"Department of Machine Learning, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.vehcom.2018.03.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14778\/2212351.2212354"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.01.022"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3058573"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3124848"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103635"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3028742"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3025446"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3136611"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685938"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00099"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2940820"},{"key":"ref16","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","author":"Cho","year":"2020","journal-title":"arXiv:2010.01243"},{"key":"ref17","volume-title":"Kubernetes.","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3030072"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000286"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006179"},{"key":"ref21","article-title":"Interpret federated learning with shapley values","author":"Wang","year":"2019","journal-title":"arXiv:1905.04519"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPS-ISA50397.2020.00014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900119"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3140273"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488839"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154309"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3027306"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref31","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Stat.","author":"Reisizadeh"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.2020.09.009"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CAMAD50429.2020.9209263"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800020109"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref38","volume-title":"Kubernetes\u2014Assign CPU resources to containers and pods.","year":"2021"},{"key":"ref39","volume-title":"Google kubernetes engine (GKE)\u2014Scaling an application.","year":"2021"},{"key":"ref40","article-title":"LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"Yu","year":"2015","journal-title":"arXiv:1506.03365"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.128"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10049212\/09933822.pdf?arnumber=9933822","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T23:10:58Z","timestamp":1705965058000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9933822\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,1]]},"references-count":41,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2022.3218755","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,1]]}}}