{"id":"https://openalex.org/W3129895389","doi":"https://doi.org/10.1109/tcomm.2022.3230779","title":"On Gradient Coding With Partial Recovery","display_name":"On Gradient Coding With Partial Recovery","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W3129895389","doi":"https://doi.org/10.1109/tcomm.2022.3230779","mag":"3129895389"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2022.3230779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2022.3230779","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/A5024027451","display_name":"Sahasrajit Sarmasarkar","orcid":"https://orcid.org/0000-0002-6652-4881"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sahasrajit Sarmasarkar","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0002-6652-4881","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110717612","display_name":"V. Lalitha","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Lalitha","raw_affiliation_strings":["International Institute of Information Technology Hyderabad, Hyderabad, India"],"raw_orcid":"https://orcid.org/0000-0003-2874-8910","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084509524","display_name":"Nikhil Karamchandani","orcid":"https://orcid.org/0000-0002-7233-0717"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nikhil Karamchandani","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0002-7233-0717","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024027451"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.2775,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60135275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"71","issue":"2","first_page":"644","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.6238077878952026},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5340088605880737},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5064276456832886},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4880565404891968},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4404944181442261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43405550718307495},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3933292627334595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3856830596923828},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3272104859352112},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.15970340371131897},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11602407693862915},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10717669129371643}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6238077878952026},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5340088605880737},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5064276456832886},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4880565404891968},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4404944181442261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43405550718307495},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3933292627334595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3856830596923828},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3272104859352112},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.15970340371131897},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11602407693862915},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10717669129371643},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2022.3230779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2022.3230779","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W2268702383","https://openalex.org/W2336650964","https://openalex.org/W2556205507","https://openalex.org/W2741736887","https://openalex.org/W2757498728","https://openalex.org/W2769892987","https://openalex.org/W2901745114","https://openalex.org/W2913243214","https://openalex.org/W2914855042","https://openalex.org/W2962208489","https://openalex.org/W2962850796","https://openalex.org/W2963256807","https://openalex.org/W2963361660","https://openalex.org/W2963706835","https://openalex.org/W2964095159","https://openalex.org/W2964160151","https://openalex.org/W2964323106","https://openalex.org/W2975971390","https://openalex.org/W2976713597","https://openalex.org/W2977030270","https://openalex.org/W2982443440","https://openalex.org/W2996468493","https://openalex.org/W3015418122","https://openalex.org/W3016249977","https://openalex.org/W3023838981","https://openalex.org/W3039623208","https://openalex.org/W3040094851","https://openalex.org/W3081465783","https://openalex.org/W3100515187","https://openalex.org/W3103761313","https://openalex.org/W3197511597","https://openalex.org/W3212424730","https://openalex.org/W4206267449","https://openalex.org/W4254448470","https://openalex.org/W4285068601","https://openalex.org/W4293449910","https://openalex.org/W6703420464","https://openalex.org/W6738835244","https://openalex.org/W6742061381","https://openalex.org/W6746024075","https://openalex.org/W6748342376","https://openalex.org/W6749257597","https://openalex.org/W6752557422","https://openalex.org/W6759084776"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2963177394","https://openalex.org/W1595229445","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W1965815883","https://openalex.org/W763418848","https://openalex.org/W4298135613"],"abstract_inverted_index":{"We":[0,93,143],"consider":[1],"a":[2,10,27,97,126,163,171,198],"generalization":[3],"of":[4,35,56,67,78,90,104,121,128,183,200,223],"the":[5,36,44,49,54,57,61,65,72,76,91,101,119,180,209,220],"gradient":[6],"coding":[7],"framework":[8,46],"where":[9],"dataset":[11],"is":[12],"divided":[13],"across":[14],"<inline-formula":[15,82,136,153,187],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[16,83,137,154,188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[17,84,138,155,189],"<tex-math":[18,85,139,156,190],"notation=\"LaTeX\">$n$":[19,140,157,191],"</tex-math></inline-formula>":[20,88,141,158,192],"workers":[21],"and":[22,107,125,161,211,214],"each":[23,168],"worker":[24,169],"transmits":[25,170],"to":[26,52,74,218],"master":[28,50],"node":[29,51],"one":[30],"or":[31],"more":[32],"linear":[33,173],"combinations":[34],"gradients":[37,58],"over":[38,59],"its":[39],"assigned":[40],"data":[41,62,129,159,193],"subsets.":[42],"Unlike":[43],"conventional":[45],"which":[47,112,131,151,202],"requires":[48],"recover":[53],"sum":[55,77],"all":[60],"subsets":[63],"in":[64,135],"presence":[66],"straggler":[68],"workers,":[69],"we":[70,175,196],"relax":[71],"goal":[73],"computing":[75],"at":[79,118],"least":[80],"some":[81],"notation=\"LaTeX\">$\\alpha":[86],"$":[87],"fraction":[89],"gradients.":[92],"begin":[94],"by":[95],"deriving":[96],"lower":[98,115,164,177],"bound":[99],"on":[100,148,179],"computation":[102,181,210],"load":[103,124,182,213],"any":[105,184],"scheme":[106,185],"also":[108],"propose":[109,145],"two":[110],"strategies":[111],"achieve":[113,203],"this":[114],"bound,":[116],"albeit":[117],"cost":[120],"high":[122],"communication":[123,165,212],"number":[127],"partitions":[130,160],"can":[132],"be":[133],"polynomial":[134],".":[142],"then":[144],"schemes":[146,201],"based":[147],"cyclic":[149],"assignment":[150],"utilize":[152],"have":[162],"load.":[166],"When":[167],"single":[172],"combination,":[174],"prove":[176],"bounds":[178],"using":[186],"partitions.":[194],"Finally,":[195],"describe":[197],"class":[199],"different":[204],"intermediate":[205],"operating":[206],"points":[207],"for":[208],"provide":[215],"simulation":[216],"results":[217],"demonstrate":[219],"empirical":[221],"performance":[222],"our":[224],"schemes.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}