{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T05:50:40Z","timestamp":1768974640586,"version":"3.49.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"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":[],"published-print":{"date-parts":[[2022,5,16]]},"DOI":"10.1109\/icc45855.2022.9838880","type":"proceedings-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T19:37:11Z","timestamp":1660246631000},"page":"177-182","source":"Crossref","is-referenced-by-count":13,"title":["Clustered Hierarchical Distributed Federated Learning"],"prefix":"10.1109","author":[{"given":"Yan","family":"Gou","sequence":"first","affiliation":[{"name":"University of Glasgow,School of Engineering,Glasgow,UK,G12 8QQ"}]},{"given":"Ruiyu","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Glasgow,School of Engineering,Glasgow,UK,G12 8QQ"}]},{"given":"Zongyao","family":"Li","sequence":"additional","affiliation":[{"name":"University of Glasgow,School of Engineering,Glasgow,UK,G12 8QQ"}]},{"given":"Muhammad Ali","family":"Imran","sequence":"additional","affiliation":[{"name":"University of Glasgow,School of Engineering,Glasgow,UK,G12 8QQ"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Glasgow,School of Engineering,Glasgow,UK,G12 8QQ"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1016\/j.jpdc.2008.09.002","article-title":"Bandwidth optimal all-reduce algorithms for clusters of workstations","volume":"69","author":"patarasuk","year":"2009","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"ref11","article-title":"Gossipgrad: Scalable deep learning using gossip communication based asynchronous gradient descent","author":"daily","year":"2018","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-76352-7_20"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.23919\/IFIPNetworking52078.2021.9472790"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2005.1498447"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref16","article-title":"Making gradient descent optimal for strongly convex stochastic optimization","author":"shamir","year":"2011","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/120880811"},{"key":"ref18","article-title":"Federated learning with non-iid data","author":"zhao","year":"2018","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2760518"},{"key":"ref6","article-title":"Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models","volume":"1","author":"samek","year":"2018","journal-title":"ITU Journal ICT Discoveries - Special Issue 1 - The Impact of Artificial Intelligence (AI) on Communication Networks and Services"},{"key":"ref5","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"5476","DOI":"10.1109\/JIOT.2020.3030072","article-title":"A survey on federated learning: The journey from centralized to distributed on-site learning and beyond","volume":"8","author":"abdulrahman","year":"2021","journal-title":"IEEE Internet of Things Journal"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref9","article-title":"Decentralized federated learning: A segmented gossip approach","author":"hu","year":"2019","journal-title":"CoRR"}],"event":{"name":"ICC 2022 - IEEE International Conference on Communications","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2022,5,16]]},"end":{"date-parts":[[2022,5,20]]}},"container-title":["ICC 2022 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9837954\/9838246\/09838880.pdf?arnumber=9838880","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:29:19Z","timestamp":1662409759000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9838880\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icc45855.2022.9838880","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]}}}