{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:00:07Z","timestamp":1784134807396,"version":"3.55.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61931023"],"award-info":[{"award-number":["61931023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61831018"],"award-info":[{"award-number":["61831018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62120106007"],"award-info":[{"award-number":["62120106007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972256"],"award-info":[{"award-number":["61972256"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["T2122024"],"award-info":[{"award-number":["T2122024"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62125109"],"award-info":[{"award-number":["62125109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2018YFB1801102"],"award-info":[{"award-number":["2018YFB1801102"]}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["20ZR1425300"],"award-info":[{"award-number":["20ZR1425300"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tsp.2023.3244084","type":"journal-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T21:03:36Z","timestamp":1676581416000},"page":"1023-1038","source":"Crossref","is-referenced-by-count":6,"title":["Optimization-Based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5525-5260","authenticated-orcid":false,"given":"Qi","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3181-9775","authenticated-orcid":false,"given":"Ying","family":"Cui","sequence":"additional","affiliation":[{"name":"IoT Thrust, Hong Kong University of Science and Technology Guangzhou, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2888-594X","authenticated-orcid":false,"given":"Chenglin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9694-9880","authenticated-orcid":false,"given":"Junni","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4552-0029","authenticated-orcid":false,"given":"Hongkai","family":"Xiong","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685858"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3039309"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118402"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3185895"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2022.3199564"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2408776.2408794"},{"key":"ref8","article-title":"Reining in the outliers in map-reduce clusters using Mantri","volume-title":"Proc. 9th USENIX Conf. Operating Syst. Des. Implementation","volume":"10","author":"Ananthanarayanan","year":"2010"},{"key":"ref9","first-page":"4403","article-title":"Polynomial codes: An optimal design for high-dimensional coded matrix multiplication","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","author":"Yu","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2019.2929328"},{"key":"ref11","first-page":"3368","article-title":"Gradient coding: Avoiding stragglers in distributed learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tandon","year":"2017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2020.3029396"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2991361"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2736066"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3366706"},{"key":"ref16","first-page":"1","article-title":"Short-dot: Computing large linear transforms distributedly using coded short dot products","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","volume":"29","author":"Dutta","year":"2016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849684"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437473"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2020.3036763"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8006963"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437871"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437467"},{"key":"ref23","first-page":"5610","article-title":"Communication-computation efficient gradient coding","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ye","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2018.00137"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2019.8755563"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tcomm.2022.3166902"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2016.7852337"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2017.8262879"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2017.8254164"},{"key":"ref30","article-title":"Approximate gradient coding via sparse random graphs","author":"Charles","year":"2017"},{"key":"ref31","article-title":"A survey of coded distributed computing","author":"Ng","year":"2020"},{"key":"ref32","first-page":"1215","article-title":"Lagrange coded computing: Optimal design for resiliency, security, and privacy","volume-title":"Proc. Mach. Learn. Res.","author":"Yu","year":"2019"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps45667.2019.9024521"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3071563"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3323679.3326528"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849514"},{"key":"ref37","article-title":"Erasurehead: Distributed gradient descent without delays using approximate gradient coding","author":"Wang","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3366700"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849690"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref41","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref45","article-title":"Stochastic subgradient methods","author":"Boyd","year":"2008"},{"key":"ref46","article-title":"Subgradients","author":"Boyd","year":"2018"},{"key":"ref47","article-title":"Foundations of quantitative finance: 4 distribution functions and expectations","author":"Reitano","year":"2017"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2531627"},{"key":"ref49","article-title":"Pseudo-random number sampling","year":"2021"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2023.3244084"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/10040758\/10043662.pdf?arnumber=10043662","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T06:34:51Z","timestamp":1712903691000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10043662\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/tsp.2023.3244084","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}