{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:53:03Z","timestamp":1783439583992,"version":"3.54.6"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T00:00:00Z","timestamp":1707955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T00:00:00Z","timestamp":1707955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T00:00:00Z","timestamp":1707955200000},"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":[[2024,2,15]]},"DOI":"10.1109\/jiot.2023.3314743","type":"journal-article","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T17:55:28Z","timestamp":1695232528000},"page":"6943-6960","source":"Crossref","is-referenced-by-count":23,"title":["Low-Latency Hierarchical Federated Learning in Wireless Edge Networks"],"prefix":"10.1109","volume":"11","author":[{"given":"Lina","family":"Su","sequence":"first","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9681-6482","authenticated-orcid":false,"given":"Ruiting","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3821-785X","authenticated-orcid":false,"given":"Ne","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6702-2763","authenticated-orcid":false,"given":"Junmei","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5351-2075","authenticated-orcid":false,"given":"Zongpeng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.55"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00245"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC49053.2021.9417267"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3144140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3131654"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118401"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3096076"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3162595"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3053588"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS54753.2022.9798096"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3186960"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3514501"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3238049"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3277553"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/icc40277.2020.9148862"},{"key":"ref17","first-page":"1","article-title":"Multi-level local SGD: Distributed SGD for heterogeneous hierarchical networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Castiglia"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20832"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1017\/9781108571401"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2022.3190512"},{"key":"ref21","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":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS51616.2021.00012"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449926"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110763"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2022.100642"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3279983"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3271692"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973402.32"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3025446"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118421"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449851"},{"key":"ref32","first-page":"5.1","article-title":"Unified algorithms for online learning and competitive analysis","volume-title":"Proc. Conf. Learn. Theory JMLR Workshop","author":"Buchbinder"},{"key":"ref33","first-page":"1","article-title":"Online decision making under stochastic constraints","volume-title":"Proc. NIPS Workshop Discr. Optim. Mach. Learn.","author":"Mahdavi"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3190512"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3035770"},{"key":"ref36","first-page":"10351","article-title":"Towards understanding biased client selection in federated learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Cho"},{"key":"ref37","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10419857\/10258055.pdf?arnumber=10258055","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T04:59:44Z","timestamp":1725080384000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10258055\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,15]]},"references-count":37,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2023.3314743","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,15]]}}}