{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:11:51Z","timestamp":1776888711030,"version":"3.51.2"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"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 Trans. Inform. Theory"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/tit.2019.2954338","type":"journal-article","created":{"date-parts":[[2019,11,19]],"date-time":"2019-11-19T21:10:03Z","timestamp":1574197803000},"page":"1333-1353","source":"Crossref","is-referenced-by-count":28,"title":["A Pliable Index Coding Approach to Data Shuffling"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2756-4984","authenticated-orcid":false,"given":"Linqi","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1002-5829","authenticated-orcid":false,"given":"Christina","family":"Fragouli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianchu","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"902","article-title":"Draco: Byzantine-resilient distributed training via redundant gradients","author":"chen","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","first-page":"5434","article-title":"Straggler mitigation in distributed optimization through data encoding","author":"karakus","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/spe.2341"},{"key":"ref32","first-page":"1","article-title":"Towards effective and efficient distributed clustering","author":"januzaj","year":"2003","journal-title":"Proc Workshop Clustering Large Data Sets (ICDM)"},{"key":"ref31","first-page":"485","article-title":"Distributed clustering based on sampling local density estimates","author":"klusch","year":"2003","journal-title":"Proc IJCAI"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2351316.2351317"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOMW.2016.7848828"},{"key":"ref36","first-page":"3368","article-title":"Gradient coding: Avoiding stragglers in distributed learning","author":"tandon","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.parco.2011.02.004"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2484425.2484427"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920881"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2306938"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom.2011.21"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.14778\/3007263.3007279"},{"key":"ref13","article-title":"Why random reshuffling beats stochastic gradient descent","author":"g\u00fcrb\u00fczbalaban","year":"2015","journal-title":"arXiv 1510 08560"},{"key":"ref14","first-page":"693","article-title":"Hogwild: A lock-free approach to parallelizing stochastic gradient descent","author":"recht","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-013-0053-8"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_25"},{"key":"ref17","first-page":"2595","article-title":"Parallelized stochastic gradient descent","author":"zinkevich","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2014.7028543"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2477821"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2756959"},{"key":"ref27","article-title":"The minrank of random graphs","author":"golovnev","year":"2016","journal-title":"arXiv 1607 04842"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2016.7841903"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437672"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2752088"},{"key":"ref5","article-title":"Near optimal coded data shuffling for distributed learning","author":"attia","year":"2018","journal-title":"arXiv 1801 01875"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2043164.2018448"},{"key":"ref2","article-title":"Speeding up distributed machine learning using codes","author":"lee","year":"2015","journal-title":"arXiv 1512 02673"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1629175.1629198"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8006991"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/BF01894879"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2012.6426691"},{"key":"ref45","author":"motwani","year":"2010","journal-title":"Randomized Algorithms"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/18.135636"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ITCC.2004.1286629"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4684-2001-2_9"},{"key":"ref21","first-page":"1787","article-title":"The big data bootstrap","author":"kleiner","year":"2012","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2008.4544612"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072313"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.02.027"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/sam.11280"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511814068"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2012.6283850"},{"key":"ref43","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2103753"}],"container-title":["IEEE Transactions on Information Theory"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/18\/8999759\/8906011-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/18\/8999759\/08906011.pdf?arnumber=8906011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:30:02Z","timestamp":1651080602000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8906011\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":48,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tit.2019.2954338","relation":{},"ISSN":["0018-9448","1557-9654"],"issn-type":[{"value":"0018-9448","type":"print"},{"value":"1557-9654","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3]]}}}