{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:16:50Z","timestamp":1776442610582,"version":"3.51.2"},"reference-count":125,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"crossref","award":["62271514"],"award-info":[{"award-number":["62271514"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science, Technology and Innovation Commission of Shenzhen Municipality","award":["JCYJ20210324120002007"],"award-info":[{"award-number":["JCYJ20210324120002007"]}]},{"name":"Science, Technology and Innovation Commission of Shenzhen Municipality","award":["ZDSYS20210623091807023"],"award-info":[{"award-number":["ZDSYS20210623091807023"]}]},{"name":"Research Fund of State Key Laboratory of Public Big Data, Guizhou University","award":["PBD2023-01"],"award-info":[{"award-number":["PBD2023-01"]}]},{"name":"Ministry of Education, Singapore, under its Academic Research Fund Grant AcRF RG91\/22 and NTU Startup"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Open J. Commun. Soc."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/ojcoms.2024.3423362","type":"journal-article","created":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T17:41:29Z","timestamp":1720114889000},"page":"4098-4124","source":"Crossref","is-referenced-by-count":11,"title":["Coded Federated Learning for Communication-Efficient Edge Computing: A Survey"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6021-5802","authenticated-orcid":false,"given":"Yiqian","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7204-2176","authenticated-orcid":false,"given":"Tianli","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0495-332X","authenticated-orcid":false,"given":"Congduan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6624-9752","authenticated-orcid":false,"given":"Chee Wei","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155226"},{"key":"ref2","volume-title":"General Data Protection Regulation","year":"2018"},{"key":"ref3","volume-title":"Cybersecurity law of the people\u2019s republic of China: National people\u2019s congress.","year":"2021"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps45667.2019.9024521"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2736066"},{"key":"ref7","first-page":"3368","article-title":"Gradient coding: Avoiding stragglers in distributed learning","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Tandon"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT54713.2023.10206933"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3058116"},{"key":"ref10","first-page":"5055","article-title":"LAG: Lazily aggregated gradient for communication-efficient distributed learning","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979762"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ITW44776.2019.8989328"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2019.8891198"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3040792"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174077"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3063180"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849684"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2019.8755563"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3166902"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF44664.2019.9048902"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174120"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849514"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2016.7852337"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS57875.2023.00080"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3244084"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2017.8262879"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3102853"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS57875.2023.00020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3228322"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8007058"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378289"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2019.2904055"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8007057"},{"key":"ref34","first-page":"5440","article-title":"Straggler mitigation in distributed optimization through data encoding","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Karakus"},{"issue":"1","key":"ref35","first-page":"2619","article-title":"Redundancy techniques for straggler mitigation in distributed optimization and learning","volume":"20","author":"Karakus","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref36","first-page":"709","article-title":"Coded distributed computing for inverse problems","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437852"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149399"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP52459.2021.9613333"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2023.3310931"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1137\/0108018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2991361"},{"key":"ref43","first-page":"4427","article-title":"Federated multi-task learning","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Smith"},{"key":"ref44","first-page":"1215","article-title":"Lagrange coded computing: Optimal design for resiliency, security, and privacy","volume-title":"Proc. 22nd Int. Conf. Artif. Intell. Statist.","author":"Yu"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1600894"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2911496"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CCCI52664.2021.9583208"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2963668"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ITW46852.2021.9457626"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796977"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS57453.2023.10226011"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3078494"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3275194"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45041.2023.10278586"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437459"},{"key":"ref56","article-title":"Coded iterative computing using substitute decoding","author":"Yang","year":"2018","journal-title":"arXiv:1805.06046"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2019.2927558"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2021.3095909"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2014.2322939"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3103822"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3341301.3359654"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2983165"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ITW54588.2022.9965865"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174281"},{"key":"ref65","article-title":"Hierarchical hybrid error correction for time-sensitive devices at the edge","author":"Yang","year":"2021","journal-title":"arXiv:2103.11046"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9014049"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2022.3149454"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2022.3177609"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3053220"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/SECON52354.2021.9491589"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3293611.3331573"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT54713.2023.10206774"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS53621.2022.00067"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/285243.285258"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref76","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2019","journal-title":"arXiv:1810.04805"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1907.11692"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036961"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3244243"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3334732"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3231864"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9517781"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3142356"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT54713.2023.10206782"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3142678"},{"key":"ref87","article-title":"Fed-CVLC: Compressing federated learning communications with variable-length codes","author":"Su","year":"2024","journal-title":"arXiv:2402.03770"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2023-Fall60731.2023.10333645"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63833-7_46"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909849"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437745"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS54860.2022.00088"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT50566.2022.9834802"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT50566.2022.9834445"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/DSLW51110.2021.9523408"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3302067"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3174615"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD54268.2022.9776309"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685962"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2016.7541436"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2023.3312233"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/NCA.2007.37"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP.2019.8928018"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/tcomm.2024.3381671"},{"key":"ref105","article-title":"FedNC: A secure and efficient federated learning method inspired by network coding","author":"Shi","year":"2024","journal-title":"arXiv:2305.03292"},{"key":"ref106","volume-title":"Introduction to Data Compression","author":"Sayood","year":"2017"},{"key":"ref107","first-page":"1","article-title":"QSGD: Communication-efficient SGD via gradient quantization and encoding","volume-title":"Proc. 31st Adv. Neural Inf. Process. Syst.","author":"Alistarh"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref109","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Reisizadeh"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3046971"},{"key":"ref111","first-page":"1","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lin"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852172"},{"issue":"8","key":"ref113","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.3390\/e25081205","article-title":"Towards efficient federated learning: Layer-wise pruning-Quantization scheme and coding design","volume":"25","author":"Zhu","year":"2023","journal-title":"Entropy"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3208035"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3259442"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988195"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1982.38"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1145\/1536414.1536440"},{"key":"ref120","first-page":"694","article-title":"Lightsecagg: A lightweight and versatile design for secure aggregation in federated learning","volume-title":"Proc. Mach. Learn. Syst.","author":"So"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838986"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2021.3053711"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1561\/0100000103"},{"key":"ref124","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2023.107745","article-title":"The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things","volume":"241","author":"Aminizadeh","year":"2023","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/ICIN.2015.7073804"}],"container-title":["IEEE Open Journal of the Communications Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8782661\/10362961\/10585314.pdf?arnumber=10585314","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T17:37:44Z","timestamp":1721929064000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10585314\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":125,"URL":"https:\/\/doi.org\/10.1109\/ojcoms.2024.3423362","relation":{},"ISSN":["2644-125X"],"issn-type":[{"value":"2644-125X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}