{"id":"https://openalex.org/W2714205045","doi":"https://doi.org/10.1109/isit.2018.8437467","title":"Improving Distributed Gradient Descent Using Reed-Solomon Codes","display_name":"Improving Distributed Gradient Descent Using Reed-Solomon Codes","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2714205045","doi":"https://doi.org/10.1109/isit.2018.8437467","mag":"2714205045"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2018.8437467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.05436","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031273076","display_name":"Wael Halbawi","orcid":"https://orcid.org/0000-0001-5951-7002"},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wael Halbawi","raw_affiliation_strings":["Oracle Corporation, Santa Clara, California"],"affiliations":[{"raw_affiliation_string":"Oracle Corporation, Santa Clara, California","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005748450","display_name":"Navid Azizan","orcid":"https://orcid.org/0000-0002-4299-2963"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Navid Azizan","raw_affiliation_strings":["California Institute of Technology, Pasadena, California"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, California","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015365818","display_name":"Fariborz Salehi","orcid":null},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fariborz Salehi","raw_affiliation_strings":["California Institute of Technology, Pasadena, California"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, California","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002430773","display_name":"Babak Hassibi","orcid":"https://orcid.org/0000-0002-1375-5838"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Babak Hassibi","raw_affiliation_strings":["California Institute of Technology, Pasadena, California"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, California","institution_ids":["https://openalex.org/I122411786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031273076"],"corresponding_institution_ids":["https://openalex.org/I1342911587"],"apc_list":null,"apc_paid":null,"fwci":6.15543623,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96150721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2027","last_page":"2031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7641838788986206},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.676571249961853},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5917718410491943},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5313929319381714},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5243476033210754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.437724232673645},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4281509816646576},{"id":"https://openalex.org/keywords/coding-theory","display_name":"Coding theory","score":0.42381080985069275},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.41570937633514404},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38107696175575256},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3527609705924988},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3272377550601959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1842317283153534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1760134994983673},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07604512572288513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641838788986206},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.676571249961853},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5917718410491943},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5313929319381714},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5243476033210754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.437724232673645},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4281509816646576},{"id":"https://openalex.org/C113709454","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Coding theory","level":2,"score":0.42381080985069275},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.41570937633514404},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38107696175575256},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3527609705924988},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3272377550601959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1842317283153534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1760134994983673},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07604512572288513},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isit.2018.8437467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.05436","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.05436","pdf_url":"https://arxiv.org/pdf/1706.05436","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2714205045","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1706.05436.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:authors.library.caltech.edu:91186","is_oa":false,"landing_page_url":"https://authors.library.caltech.edu/91186/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"doi:10.48550/arxiv.1706.05436","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1706.05436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.05436","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.05436","pdf_url":"https://arxiv.org/pdf/1706.05436","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1980147176","https://openalex.org/W2002816982","https://openalex.org/W2020298878","https://openalex.org/W2068666958","https://openalex.org/W2148575324","https://openalex.org/W2164278908","https://openalex.org/W2295155926","https://openalex.org/W2336650964","https://openalex.org/W2545678533","https://openalex.org/W2556205507","https://openalex.org/W2951781666","https://openalex.org/W2963290814","https://openalex.org/W2963833749","https://openalex.org/W2963922724","https://openalex.org/W4244681853","https://openalex.org/W4292363360","https://openalex.org/W6680402377","https://openalex.org/W6684249991","https://openalex.org/W6730190955","https://openalex.org/W6779799172"],"related_works":["https://openalex.org/W2556205507","https://openalex.org/W2268702383","https://openalex.org/W2741736887","https://openalex.org/W1982063824","https://openalex.org/W2962850796","https://openalex.org/W3111898548","https://openalex.org/W2173213060","https://openalex.org/W2964160151","https://openalex.org/W2963953036","https://openalex.org/W2962873681","https://openalex.org/W2963706835","https://openalex.org/W2963152109","https://openalex.org/W2757498728","https://openalex.org/W1497601926","https://openalex.org/W2745045892","https://openalex.org/W3098226281","https://openalex.org/W2798525132","https://openalex.org/W2604218357","https://openalex.org/W2591677828","https://openalex.org/W1903497807"],"abstract_inverted_index":{"Today's":[0],"massively-sized":[1],"datasets":[2],"have":[3,62,82],"made":[4],"it":[5],"necessary":[6],"to":[7,46,68,84,155],"often":[8],"perform":[9],"computations":[10],"on":[11,60],"them":[12],"in":[13,39,65],"a":[14,19,30,34,92,99,117,122,147],"distributed":[15,28,93],"manner.":[16],"In":[17,87],"principle,":[18],"computational":[20,125],"task":[21],"is":[22,41],"divided":[23],"into":[24],"subtasks":[25],"which":[26,151],"are":[27],"over":[29,190],"cluster":[31],"operated":[32],"by":[33,79,163],"taskmaster.":[35],"One":[36],"issue":[37],"faced":[38],"practice":[40],"the":[42,47,66,70,108,128,131,157,166,169,182,185],"delay":[43,149],"incurred":[44],"due":[45],"presence":[48],"of":[49,72,102,110,134,168,184],"slow":[50],"machines,":[51],"known":[52],"as":[53],"\\emph{stragglers}.":[54],"Several":[55],"schemes,":[56],"including":[57],"those":[58,77],"based":[59],"replication,":[61],"been":[63],"proposed":[64],"literature":[67],"mitigate":[69],"effects":[71],"stragglers":[73],"and":[74,115,187],"more":[75],"recently,":[76],"inspired":[78],"coding":[80],"theory":[81],"begun":[83],"gain":[85],"traction.":[86],"this":[88],"work,":[89],"we":[90,172],"consider":[91],"gradient":[94,129],"descent":[95],"setting":[96],"suitable":[97],"for":[98,121],"wide":[100],"class":[101],"machine":[103],"learning":[104],"problems.":[105],"We":[106,144],"adapt":[107],"framework":[109],"Tandon":[111],"et":[112],"al.":[113],"(arXiv:1612.03301)":[114],"present":[116],"deterministic":[118],"scheme":[119],"that,":[120],"prescribed":[123],"per-machine":[124],"effort,":[126],"recovers":[127],"from":[130],"least":[132],"number":[133],"machines":[135],"$f$":[136],"theoretically":[137],"permissible,":[138],"via":[139],"an":[140],"$O(f^2)$":[141],"decoding":[142],"algorithm.":[143],"also":[145],"provide":[146],"theoretical":[148,175],"model":[150],"can":[152],"be":[153],"used":[154],"minimize":[156],"expected":[158],"waiting":[159],"time":[160],"per":[161],"computation":[162],"optimally":[164],"choosing":[165],"parameters":[167],"scheme.":[170],"Finally,":[171],"supplement":[173],"our":[174],"findings":[176],"with":[177],"numerical":[178],"results":[179],"that":[180],"demonstrate":[181],"efficacy":[183],"method":[186],"its":[188],"advantages":[189],"competing":[191],"schemes.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}