{"id":"https://openalex.org/W4315783737","doi":"https://doi.org/10.1109/tcomm.2023.3236385","title":"Straggler-Exploiting Fully Private Distributed Matrix Multiplication With Chebyshev Polynomials","display_name":"Straggler-Exploiting Fully Private Distributed Matrix Multiplication With Chebyshev Polynomials","publication_year":2023,"publication_date":"2023-01-12","ids":{"openalex":"https://openalex.org/W4315783737","doi":"https://doi.org/10.1109/tcomm.2023.3236385"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2023.3236385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2023.3236385","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications 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 Communications","raw_type":"journal-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/A5083191379","display_name":"Sangwoo Hong","orcid":"https://orcid.org/0000-0002-0270-2781"},"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"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sangwoo Hong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Communications and Machine Learning Laboratory, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0270-2781","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Communications and Machine Learning Laboratory, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085195739","display_name":"Heecheol Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heecheol Yang","raw_affiliation_strings":["Distributed Networks and Computing Laboratory, Division of Computer Convergence, Chungnam National University, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2802-2143","affiliations":[{"raw_affiliation_string":"Distributed Networks and Computing Laboratory, Division of Computer Convergence, Chungnam National University, Daejeon, South Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075108981","display_name":"YoungSeok Yoon","orcid":"https://orcid.org/0000-0001-5979-1829"},"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"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngseok Yoon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Communications and Machine Learning Laboratory, Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Communications and Machine Learning Laboratory, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376261","display_name":"Jungwoo Lee","orcid":"https://orcid.org/0000-0002-6804-980X"},"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"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungwoo Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Communications and Machine Learning Laboratory, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6804-980X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Communications and Machine Learning Laboratory, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083191379"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.852,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77344708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"71","issue":"3","first_page":"1579","last_page":"1594"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9997000098228455,"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/T10237","display_name":"Cryptography and Data Security","score":0.9995999932289124,"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/multiplication","display_name":"Multiplication (music)","score":0.7494602203369141},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.6959153413772583},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6734521985054016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697887182235718},{"id":"https://openalex.org/keywords/chebyshev-polynomials","display_name":"Chebyshev polynomials","score":0.6631369590759277},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5372585654258728},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42910343408584595},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33170148730278015},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.32024848461151123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2782493233680725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24576902389526367}],"concepts":[{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.7494602203369141},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.6959153413772583},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6734521985054016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697887182235718},{"id":"https://openalex.org/C129785596","wikidata":"https://www.wikidata.org/wiki/Q619511","display_name":"Chebyshev polynomials","level":2,"score":0.6631369590759277},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5372585654258728},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42910343408584595},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33170148730278015},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.32024848461151123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2782493233680725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24576902389526367},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2023.3236385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2023.3236385","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications 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 Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G464931862","display_name":null,"funder_award_id":"2021R1A2C2014504(10%)","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5065005546","display_name":null,"funder_award_id":"2022R1C1C1005749(30%)","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1982063824","https://openalex.org/W2059919683","https://openalex.org/W2101124960","https://openalex.org/W2268702383","https://openalex.org/W2599749253","https://openalex.org/W2623323969","https://openalex.org/W2745045892","https://openalex.org/W2768218911","https://openalex.org/W2784935051","https://openalex.org/W2802001504","https://openalex.org/W2808580034","https://openalex.org/W2891780733","https://openalex.org/W2922342388","https://openalex.org/W2950847865","https://openalex.org/W2962692592","https://openalex.org/W2963117124","https://openalex.org/W2964120628","https://openalex.org/W2964229375","https://openalex.org/W2972866228","https://openalex.org/W2975722824","https://openalex.org/W3005122631","https://openalex.org/W3006386891","https://openalex.org/W3046264682","https://openalex.org/W3080407940","https://openalex.org/W3080603857","https://openalex.org/W3097451491","https://openalex.org/W3098226281","https://openalex.org/W3100515187","https://openalex.org/W3103850232","https://openalex.org/W3111337301","https://openalex.org/W3119375995","https://openalex.org/W3187837911","https://openalex.org/W3196100365","https://openalex.org/W3216539931","https://openalex.org/W4205273441","https://openalex.org/W4205380108","https://openalex.org/W4206499067","https://openalex.org/W4285503909","https://openalex.org/W6738835244","https://openalex.org/W6752557422","https://openalex.org/W6796699791","https://openalex.org/W6800635446","https://openalex.org/W6839276736"],"related_works":["https://openalex.org/W3099313426","https://openalex.org/W4287593139","https://openalex.org/W2036954759","https://openalex.org/W2057797376","https://openalex.org/W2090319426","https://openalex.org/W752783541","https://openalex.org/W2506252583","https://openalex.org/W1506547947","https://openalex.org/W2048249848","https://openalex.org/W1987422982"],"abstract_inverted_index":{"In":[0,132],"this":[1],"paper,":[2],"we":[3,134],"consider":[4],"coded":[5,42,47],"computation":[6,23,43],"for":[7],"matrix":[8,50,70],"multiplication":[9,51,71],"tasks":[10],"in":[11,60,110],"distributed":[12],"computing":[13],"to":[14,35,53,67,102,113,115,122,154],"mitigate":[15,150],"straggler":[16,151],"effects.":[17],"We":[18,38,118],"assume":[19],"that":[20,136],"the":[21,29,36,55,74,80,86,90,124,140],"stragglers\u2019":[22],"results":[24],"can":[25,138],"be":[26],"leveraged":[27],"at":[28],"master":[30,59,65,128,144],"by":[31,79],"assigning":[32],"multiple":[33],"sub-tasks":[34],"workers.":[37,131],"propose":[39],"a":[40,58,61,64,69,127,143],"new":[41],"scheme,":[44],"namely":[45],"Chebyshev":[46,104],"fully":[48],"private":[49],"(CFP),":[52],"preserve":[54,139],"privacy":[56,125,141],"of":[57,85,89,99,126,142],"scenario":[62],"where":[63],"wants":[66],"obtain":[68],"result":[72],"from":[73,93,129,145],"libraries":[75],"which":[76,106],"are":[77],"shared":[78],"workers,":[81],"while":[82],"concealing":[83],"both":[84],"two":[87],"indices":[88],"desired":[91],"matrices":[92],"each":[94,146],"worker.":[95],"The":[96],"key":[97],"idea":[98],"CFP":[100,121,137],"is":[101],"introduce":[103],"polynomials,":[105],"have":[107],"commutative":[108],"property,":[109],"queries":[111],"sent":[112],"workers":[114],"allocate":[116],"sub-tasks.":[117],"also":[119],"extend":[120],"keep":[123],"colluding":[130],"conclusion,":[133],"show":[135],"worker":[147],"and":[148],"efficiently":[149],"effects":[152],"compared":[153],"existing":[155],"schemes.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}