{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T03:12:20Z","timestamp":1784949140620,"version":"3.55.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,5]],"date-time":"2021-09-05T00:00:00Z","timestamp":1630800000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,5]],"date-time":"2021-09-05T00:00:00Z","timestamp":1630800000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,5]],"date-time":"2021-09-05T00:00:00Z","timestamp":1630800000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010450","name":"Iraq Ministry of Higher Education and Scientific Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010450","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,5]]},"DOI":"10.1109\/iscc53001.2021.9631391","type":"proceedings-article","created":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T20:46:50Z","timestamp":1639601210000},"page":"1-7","source":"Crossref","is-referenced-by-count":28,"title":["Reducing Communication Overhead of Federated Learning through Clustering Analysis"],"prefix":"10.1109","author":[{"given":"Ahmed A.","family":"Al-Saedi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Veselka","family":"Boeva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emiliano","family":"Casalicchio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1045"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/app10082864"},{"key":"ref12","article-title":"Gaia: Geo-distributed machine learning approaching LAN speeds","author":"hsieh","year":"2017","journal-title":"NSDI"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref14","article-title":"Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data","author":"jeong","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s20144048"},{"key":"ref16","article-title":"Hybrid federated and centralized learning","author":"elbir","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref17","article-title":"Expanding the reach of federated learning by reducing client resource requirements","author":"caldas","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref18","article-title":"Rc-ssfl: Towards robust and communication-efficient semi-supervised federated learning system","author":"liu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref19","article-title":"Federated learning of deep networks using model averaging","author":"mcmahan","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref4","article-title":"Federated learning: Strategies for improving communication efficiency","author":"konecny","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref3","article-title":"Communication efficient federated learning over multiple access channels","author":"chang","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref6","article-title":"Evaluating the communication efficiency in federated learning algorithms","author":"asad","year":"2020","journal-title":"ar Xiv preprint"},{"key":"ref5","first-page":"954","article-title":"Cmil: Mitigating communication overhead for federated learning","author":"wang","year":"2019","journal-title":"IEEE 39th International Conference on Distributed Computing Systems (ICDCS)"},{"key":"ref8","article-title":"Terngrad: Ternary gradients to reduce communication in distributed deep learning","author":"wen","year":"2017","journal-title":"NIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2014-274"},{"key":"ref2","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref9","article-title":"Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"zhou","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref1","article-title":"Federated learning: Collaborative machine learning without centralized training data","author":"mcmahan","year":"2017","journal-title":"Google Research Blog"},{"key":"ref20","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","volume":"1","author":"macqueen","year":"1967","journal-title":"Proc Berkeley Symp on Math Statist and Prob"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/sam.10080"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13105-4_14"},{"key":"ref25","article-title":"Federated deep learning for healthcare data","author":"babu","year":"2020","journal-title":"Department of Computing Imperial College London"}],"event":{"name":"2021 IEEE Symposium on Computers and Communications (ISCC)","location":"Athens, Greece","start":{"date-parts":[[2021,9,5]]},"end":{"date-parts":[[2021,9,8]]}},"container-title":["2021 IEEE Symposium on Computers and Communications (ISCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9631377\/9631248\/09631391.pdf?arnumber=9631391","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:24Z","timestamp":1652201664000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9631391\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,5]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/iscc53001.2021.9631391","relation":{},"subject":[],"published":{"date-parts":[[2021,9,5]]}}}