{"id":"https://openalex.org/W4386066659","doi":"https://doi.org/10.1109/isit54713.2023.10206996","title":"Coded matrix computation with gradient coding","display_name":"Coded matrix computation with gradient coding","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386066659","doi":"https://doi.org/10.1109/isit54713.2023.10206996"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5015941749","display_name":"Kyungrak Son","orcid":"https://orcid.org/0000-0002-2983-985X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4210164379","display_name":"Seoul Media Institute of Technology","ror":"https://ror.org/04ywg4h07","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210164379"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungrak Son","raw_affiliation_strings":["Seoul National University,Institute of New Media and Communications,Seoul,South Korea,08826"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Institute of New Media and Communications,Seoul,South Korea,08826","institution_ids":["https://openalex.org/I4210164379","https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055656185","display_name":"Aditya Ramamoorthy","orcid":"https://orcid.org/0000-0003-3448-1271"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Ramamoorthy","raw_affiliation_strings":["Iowa State University,Dept. of Electrical and Computer Eng.,Ames,IA,U.S.A.,50011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University,Dept. of Electrical and Computer Eng.,Ames,IA,U.S.A.,50011","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5588,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70858589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2183","last_page":"2188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9993000030517578,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7214571237564087},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6749997138977051},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6603075861930847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64451664686203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.637547492980957},{"id":"https://openalex.org/keywords/block-matrix","display_name":"Block matrix","score":0.6178245544433594},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5320664048194885},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5294480323791504},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4768047034740448},{"id":"https://openalex.org/keywords/numerical-stability","display_name":"Numerical stability","score":0.4675437808036804},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.431001752614975},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.41506391763687134},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34259968996047974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27727729082107544},{"id":"https://openalex.org/keywords/numerical-analysis","display_name":"Numerical analysis","score":0.25671660900115967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.06524702906608582}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7214571237564087},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6749997138977051},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6603075861930847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64451664686203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.637547492980957},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.6178245544433594},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5320664048194885},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5294480323791504},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4768047034740448},{"id":"https://openalex.org/C176321772","wikidata":"https://www.wikidata.org/wiki/Q1430640","display_name":"Numerical stability","level":3,"score":0.4675437808036804},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.431001752614975},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.41506391763687134},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34259968996047974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27727729082107544},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.25671660900115967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06524702906608582},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2268702383","https://openalex.org/W2741736887","https://openalex.org/W2784935051","https://openalex.org/W2787606899","https://openalex.org/W2891780733","https://openalex.org/W2962850796","https://openalex.org/W2963117124","https://openalex.org/W2964229375","https://openalex.org/W2976462019","https://openalex.org/W2976531921","https://openalex.org/W2980753584","https://openalex.org/W2993649261","https://openalex.org/W3022911650","https://openalex.org/W3080407940","https://openalex.org/W3098226281","https://openalex.org/W3100515187","https://openalex.org/W3111337301","https://openalex.org/W3119375995","https://openalex.org/W3179083954","https://openalex.org/W3204863860","https://openalex.org/W3209827274","https://openalex.org/W4285157589","https://openalex.org/W4286969150","https://openalex.org/W4301515685","https://openalex.org/W4386066659","https://openalex.org/W6730190955","https://openalex.org/W6738835244","https://openalex.org/W6742061381","https://openalex.org/W6747961934","https://openalex.org/W6801386059"],"related_works":["https://openalex.org/W2258031046","https://openalex.org/W2368824897","https://openalex.org/W2030775967","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450"],"abstract_inverted_index":{"Polynomial":[0],"based":[1],"approaches,":[2],"such":[3],"as":[4,173],"the":[5,41,57,63,74,80,93,98,105,115,118,134,153],"Mat-Dot":[6,178],"and":[7,120,165,177],"entangled":[8],"polynomial":[9],"codes":[10],"(EPC)":[11],"have":[12,73],"been":[13],"used":[14],"extensively":[15],"within":[16],"coded":[17],"matrix":[18],"computations":[19],"to":[20,32,113,175],"obtain":[21],"schemes":[22,29,46,123,151],"with":[23,104],"good":[24],"recovery":[25],"thresholds.":[26],"However,":[27],"these":[28,45],"are":[30],"well-recognized":[31],"suffer":[33],"from":[34],"poor":[35],"numerical":[36,128,163],"stability":[37,164],"in":[38,44,144,152],"decoding.":[39],"Moreover,":[40],"encoding":[42,58,119],"process":[43],"involves":[47],"linearly":[48],"combining":[49,97],"a":[50,90,137],"large":[51],"number":[52],"of":[53,67,77,92,100,117,136],"input":[54,69,171],"submatrices,":[55],"i.e.,":[56],"weight":[59,116],"is":[60,131],"high.":[61],"For":[62],"practically":[64],"relevant":[65],"case":[66],"sparse":[68,170],"matrices,":[70],"this":[71,86,130],"can":[72],"undesirable":[75],"effect":[76],"significantly":[78],"increasing":[79],"worker":[81],"node":[82],"computation":[83,167],"time.":[84],"In":[85],"work,":[87],"we":[88,147],"propose":[89],"generalization":[91],"EPC":[94,107,176],"scheme":[95,160],"by":[96],"idea":[99],"gradient":[101],"coding":[102],"along":[103],"basic":[106],"encoding.":[108],"Our":[109],"technique":[110],"allows":[111],"us":[112],"reduce":[114],"arrive":[121],"at":[122,133],"that":[124,158],"exhibit":[125],"much":[126],"better":[127],"stability;":[129],"achieved":[132],"expense":[135],"worse":[138],"threshold.":[139],"By":[140],"appropriately":[141],"setting":[142],"parameters":[143],"our":[145,159],"scheme,":[146],"recover":[148],"several":[149],"well-known":[150],"literature.":[154],"Simulation":[155],"results":[156],"show":[157],"provides":[161],"excellent":[162],"fast":[166],"speed":[168],"(for":[169],"matrices)":[172],"compared":[174],"codes.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}