{"id":"https://openalex.org/W3086858324","doi":"https://doi.org/10.1109/tpami.2022.3151434","title":"Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing","display_name":"Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing","publication_year":2022,"publication_date":"2022-02-15","ids":{"openalex":"https://openalex.org/W3086858324","doi":"https://doi.org/10.1109/tpami.2022.3151434","mag":"3086858324","pmid":"https://pubmed.ncbi.nlm.nih.gov/35157580"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3151434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3151434","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006995988","display_name":"Tayyebeh Jahani-Nezhad","orcid":"https://orcid.org/0000-0001-9198-660X"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Tayyebeh Jahani-Nezhad","raw_affiliation_strings":["Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-9198-660X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113662214","display_name":"Mohammad Ali Maddah-Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Ali Maddah-Ali","raw_affiliation_strings":["Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-3222-1874","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006995988"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":4.1619,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94541513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"45","issue":"1","first_page":"111","last_page":"122"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/server","display_name":"Server","score":0.7962969541549683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6994149684906006},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6889599561691284},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5261642336845398},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4935680627822876},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47721439599990845},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4377218782901764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38753798604011536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21656310558319092}],"concepts":[{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7962969541549683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6994149684906006},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6889599561691284},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5261642336845398},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4935680627822876},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47721439599990845},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4377218782901764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38753798604011536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21656310558319092},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3151434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3151434","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35157580","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35157580","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6119777410","display_name":null,"funder_award_id":"98019168","funder_id":"https://openalex.org/F4320322243","funder_display_name":"Iran National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322243","display_name":"Iran National Science Foundation","ror":"https://ror.org/03sr1ma14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W83431731","https://openalex.org/W1713044966","https://openalex.org/W1975959460","https://openalex.org/W1981115560","https://openalex.org/W1982063824","https://openalex.org/W1985922315","https://openalex.org/W1989783621","https://openalex.org/W2003368653","https://openalex.org/W2006121787","https://openalex.org/W2007407491","https://openalex.org/W2014989235","https://openalex.org/W2019247511","https://openalex.org/W2021311647","https://openalex.org/W2043460864","https://openalex.org/W2049897010","https://openalex.org/W2054298708","https://openalex.org/W2056522847","https://openalex.org/W2059919683","https://openalex.org/W2068351005","https://openalex.org/W2104537873","https://openalex.org/W2112796928","https://openalex.org/W2142535891","https://openalex.org/W2142567026","https://openalex.org/W2168231600","https://openalex.org/W2268702383","https://openalex.org/W2343350230","https://openalex.org/W2573743997","https://openalex.org/W2741736887","https://openalex.org/W2745045892","https://openalex.org/W2750384547","https://openalex.org/W2784935051","https://openalex.org/W2787128677","https://openalex.org/W2806273311","https://openalex.org/W2899771611","https://openalex.org/W2913243214","https://openalex.org/W2950847865","https://openalex.org/W2959057861","https://openalex.org/W2962850796","https://openalex.org/W2963117124","https://openalex.org/W2963256807","https://openalex.org/W2964160151","https://openalex.org/W2964323106","https://openalex.org/W2996468493","https://openalex.org/W3033172079","https://openalex.org/W3098226281","https://openalex.org/W3100515187","https://openalex.org/W3118608800","https://openalex.org/W3119375995","https://openalex.org/W3127518390","https://openalex.org/W3137779858","https://openalex.org/W3198421519","https://openalex.org/W3213046182","https://openalex.org/W4206339480","https://openalex.org/W4212997603","https://openalex.org/W4236536374","https://openalex.org/W4295364468","https://openalex.org/W6675413058","https://openalex.org/W6684859321","https://openalex.org/W6738835244","https://openalex.org/W6742061381","https://openalex.org/W6743688258","https://openalex.org/W6748342376","https://openalex.org/W6752557422","https://openalex.org/W6756040250","https://openalex.org/W6765788839","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2092530219","https://openalex.org/W2388464034","https://openalex.org/W2533125852","https://openalex.org/W2140460949","https://openalex.org/W2105580438","https://openalex.org/W2057435755","https://openalex.org/W3121798572","https://openalex.org/W2018782216","https://openalex.org/W2101552690","https://openalex.org/W2072332896"],"abstract_inverted_index":{"One":[0],"of":[1,60,64,95,107,150,154,178,187,190],"the":[2,37,58,75,93,105,108,155,188],"major":[3,79],"challenges":[4],"in":[5,185],"using":[6],"distributed":[7],"learning":[8],"to":[9,18,32,36,73,89,100,169],"train":[10,170],"complicated":[11],"models":[12],"with":[13,20,67,81,104,147],"large":[14],"data":[15,47],"sets":[16],"is":[17,44,51,157,167],"deal":[19],"stragglers":[21],"effect.":[22],"As":[23],"a":[24,68,136,171,176],"solution,":[25,139],"coded":[26,54],"computation":[27,38,50,117,145],"has":[28],"been":[29],"recently":[30],"proposed":[31],"efficiently":[33],"add":[34],"redundancy":[35],"tasks.":[39],"In":[40,121,164],"this":[41,122],"technique,":[42],"coding":[43],"used":[45,168],"across":[46],"sets,":[48],"and":[49,146,160],"done":[52],"over":[53,118],"data,":[55],"such":[56],"that":[57,97],"results":[59],"an":[61,132],"arbitrary":[62],"subset":[63],"worker":[65],"nodes":[66],"certain":[69],"size":[70],"are":[71,84,87,112],"enough":[72],"recover":[74],"final":[76],"results.":[77],"The":[78,152],"drawbacks":[80],"those":[82],"approaches":[83],"(1)":[85],"they":[86,111],"limited":[88],"polynomial":[90,143],"functions,":[91],"(2)":[92],"number":[94,149],"servers":[96],"we":[98,124],"need":[99],"wait":[101],"for":[102,116],"grows":[103],"degree":[106],"model,":[109],"(3)":[110],"not":[113],"numerically":[114,137],"stable":[115,138],"real":[119],"numbers.":[120],"paper,":[123],"propose":[125],"Berrut":[126],"Approximated":[127],"Coded":[128],"Computing":[129],"(BACC),":[130],"as":[131,135],"alternative":[133,182],"approach,":[134],"which":[140,180],"works":[141],"beyond":[142],"functions":[144],"any":[148],"servers.":[151],"accuracy":[153],"approximation":[156],"established":[158],"theoretically":[159],"verified":[161],"by":[162],"simulation.":[163],"particular,":[165],"BACC":[166],"deep":[172],"neural":[173],"network":[174],"on":[175],"cluster":[177],"servers,":[179],"outperforms":[181],"uncoded":[183],"solutions":[184],"terms":[186],"rate":[189],"convergence.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
