{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:14:07Z","timestamp":1780762447585,"version":"3.54.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"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 Trans. Sustain. Comput."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tsusc.2024.3374049","type":"journal-article","created":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T19:03:09Z","timestamp":1709751789000},"page":"902-912","source":"Crossref","is-referenced-by-count":6,"title":["FedPKR: Federated Learning With Non-IID Data via Periodic Knowledge Review in Edge Computing"],"prefix":"10.1109","volume":"9","author":[{"given":"Jinbo","family":"Wang","sequence":"first","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6562-818X","authenticated-orcid":false,"given":"Ruijin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8701-3944","authenticated-orcid":false,"given":"Guangquan","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Intelligence and Computing, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donglin","family":"He","sequence":"additional","affiliation":[{"name":"Civil Aviation Second Institute, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xikai","family":"Pei","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2300-8817","authenticated-orcid":false,"given":"Fengli","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0988-4475","authenticated-orcid":false,"given":"Jie","family":"Gan","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Sydney, Camperdown, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-022-01937-3"},{"issue":"2","key":"ref2","first-page":"1","article-title":"A review and state of art of Internet of Things (IoT)","volume":"29","author":"Laghari","year":"2021","journal-title":"Arch. Comput. Methods Eng."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991734"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06119-y"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24525"},{"key":"ref6","article-title":"Differentially private federated learning: A client level perspective","author":"Geyer","year":"2017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3101991"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tc.2023.3236872"},{"key":"ref9","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/26.1.73"},{"key":"ref11","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","author":"Li"},{"key":"ref12","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Karimireddy"},{"key":"ref13","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018"},{"key":"ref14","first-page":"21111","article-title":"Virtual homogeneity learning: Defending against data heterogeneity in federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tang"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref16","article-title":"Measuring the effects of non-identical data distribution for federated visual classification","author":"Hsu","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.01.019"},{"key":"ref18","article-title":"Federated learning based on dynamic regularization","author":"Acar","year":"2021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00987"},{"key":"ref20","article-title":"FedBN: Federated learning on non-IID features via local batch normalization","author":"Li","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref23","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"key":"ref24","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref25","article-title":"Fedspeed: Larger local interval, less communication round, and higher generalization accuracy","author":"Sun","year":"2023"},{"key":"ref26","article-title":"Communication-efficient federated learning with acceleration of global momentum","author":"Kim","year":"2022"},{"key":"ref27","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref28","article-title":"Federated learning with matched averaging","author":"Wang","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20819"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Sustainable Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274860\/10791304\/10461059.pdf?arnumber=10461059","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T06:35:49Z","timestamp":1733898949000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10461059\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":30,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tsusc.2024.3374049","relation":{},"ISSN":["2377-3782","2377-3790"],"issn-type":[{"value":"2377-3782","type":"electronic"},{"value":"2377-3790","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}