{"id":"https://openalex.org/W4289655114","doi":"https://doi.org/10.1109/isit50566.2022.9834730","title":"Wyner-Ziv compression is (almost) optimal for distributed optimization","display_name":"Wyner-Ziv compression is (almost) optimal for distributed optimization","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655114","doi":"https://doi.org/10.1109/isit50566.2022.9834730"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834730","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5005804593","display_name":"Prathamesh Mayekar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Prathamesh Mayekar","raw_affiliation_strings":["Indian Urban Data Exchange"],"affiliations":[{"raw_affiliation_string":"Indian Urban Data Exchange","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032777445","display_name":"Shubham Jha","orcid":"https://orcid.org/0000-0002-0736-4005"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubham K Jha","raw_affiliation_strings":["Indian Institute of Science"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077741905","display_name":"Himanshu Tyagi","orcid":"https://orcid.org/0000-0003-2950-706X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Himanshu Tyagi","raw_affiliation_strings":["Indian Institute of Science"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005804593"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2066,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5295961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"578","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9987000226974487,"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/combinatorics","display_name":"Combinatorics","score":0.5535945892333984},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.534809947013855},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5304915904998779},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5155482292175293},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.47478100657463074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47078126668930054},{"id":"https://openalex.org/keywords/sigma","display_name":"Sigma","score":0.43121880292892456},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4199278652667999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4191526174545288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3582407832145691},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.34666162729263306},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3301357924938202},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12437233328819275},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.08387458324432373},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08363720774650574}],"concepts":[{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5535945892333984},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.534809947013855},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5304915904998779},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5155482292175293},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.47478100657463074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47078126668930054},{"id":"https://openalex.org/C2778049214","wikidata":"https://www.wikidata.org/wiki/Q7512234","display_name":"Sigma","level":2,"score":0.43121880292892456},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4199278652667999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4191526174545288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3582407832145691},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.34666162729263306},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3301357924938202},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12437233328819275},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.08387458324432373},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08363720774650574},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834730","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"},{"id":"https://openalex.org/F4320313176","display_name":"Robert Bosch","ror":"https://ror.org/02venad53"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1505731132","https://openalex.org/W1523337958","https://openalex.org/W2026641099","https://openalex.org/W2097412675","https://openalex.org/W2150412388","https://openalex.org/W2163458985","https://openalex.org/W2407022425","https://openalex.org/W2552857149","https://openalex.org/W2617766261","https://openalex.org/W2769644379","https://openalex.org/W2787248994","https://openalex.org/W2805997383","https://openalex.org/W2950346378","https://openalex.org/W2970997811","https://openalex.org/W2975043678","https://openalex.org/W3015640161","https://openalex.org/W3037740066","https://openalex.org/W3039138916","https://openalex.org/W3044482596","https://openalex.org/W3080442116","https://openalex.org/W3093502740","https://openalex.org/W3108778310","https://openalex.org/W3161193003","https://openalex.org/W3162286130","https://openalex.org/W3196726140","https://openalex.org/W3198301833","https://openalex.org/W3205287413","https://openalex.org/W3211389165","https://openalex.org/W4206742934","https://openalex.org/W4220826035","https://openalex.org/W4287242111","https://openalex.org/W4287642044","https://openalex.org/W4287757496","https://openalex.org/W4288554181","https://openalex.org/W6728975057","https://openalex.org/W6738460352","https://openalex.org/W6746200960","https://openalex.org/W6752012617","https://openalex.org/W6754416507","https://openalex.org/W6759968774","https://openalex.org/W6763549698","https://openalex.org/W6767827779","https://openalex.org/W6768511045","https://openalex.org/W6770275949","https://openalex.org/W6771701905","https://openalex.org/W6779612937","https://openalex.org/W6779994427","https://openalex.org/W6781605033","https://openalex.org/W6784072064","https://openalex.org/W6784421432","https://openalex.org/W6787051402","https://openalex.org/W6793758286","https://openalex.org/W6802412954","https://openalex.org/W6803295279"],"related_works":["https://openalex.org/W2908009812","https://openalex.org/W2389459180","https://openalex.org/W2540751784","https://openalex.org/W4295922964","https://openalex.org/W1586585988","https://openalex.org/W2382095754","https://openalex.org/W2128702080","https://openalex.org/W4307410600","https://openalex.org/W1970358763","https://openalex.org/W2150392693"],"abstract_inverted_index":{"Consider":[0],"distributed":[1,79],"optimization":[2],"of":[3,19,33,128,147],"smooth":[4],"convex":[5],"functions":[6],"over":[7],"\u211d":[8],"<sup":[9],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[10],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">d</sup>":[11],"where":[12],"K":[13,87],"independent":[14],"clients":[15],"can":[16],"provide":[17],"estimates":[18,27,114],"the":[20,25,34,52,58,78,81,109,112,129,144,148],"gradient.":[21],"Assume":[22],"that":[23,38,76,111],"all":[24],"gradient":[26,36,113,122,149],"are":[28,115],"within":[29],"Euclidean":[30],"distance":[31],"\u03c3":[32],"true":[35],"and":[37,135],"each":[39,118],"oracle\u2019s":[40],"output":[41],"must":[42],"be":[43,68],"compressed":[44],"to":[45,67,117,131,142],"r":[46],"bits.":[47],"For":[48],"this":[49,105],"problem,":[50],"in":[51,77],"centralized":[53],"setting":[54,80],"with":[55],"one":[56],"client,":[57],"optimal":[59,82],"convergence":[60,83],"rate":[61,84,106],"using":[62],"T":[63],"iterations":[64],"is":[65,88,100],"known":[66],"roughly":[69,89],"$\\sqrt":[70,90],"{{\\sigma":[71,91],"^2}/T}":[72,92],"$.":[73,96],"We":[74],"show":[75],"for":[85],"large":[86],"\\cdot":[93],"\\sqrt":[94],"{d/Kr}":[95],"Our":[97],"main":[98],"contribution":[99],"an":[101],"algorithm":[102],"which":[103],"attains":[104],"by":[107],"exploiting":[108],"fact":[110],"close":[116],"other.":[119],"Specifically,":[120],"our":[121],"compression":[123,140],"scheme":[124,141],"first":[125],"uses":[126,137],"half":[127,146],"parties":[130],"form":[132],"side":[133],"information":[134],"then":[136],"a":[138],"Wyner-Ziv":[139],"compress":[143],"remaining":[145],"estimates.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
