{"id":"https://openalex.org/W4399521460","doi":"https://doi.org/10.1145/3618260.3649787","title":"Improving the Bit Complexity of Communication for Distributed Convex Optimization","display_name":"Improving the Bit Complexity of Communication for Distributed Convex Optimization","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399521460","doi":"https://doi.org/10.1145/3618260.3649787"},"language":"en","primary_location":{"id":"doi:10.1145/3618260.3649787","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618260.3649787","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649787","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649787","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065433001","display_name":"Mehrdad Ghadiri","orcid":"https://orcid.org/0000-0003-0934-1322"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mehrdad Ghadiri","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":"https://orcid.org/0000-0003-0934-1322","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024980585","display_name":"Yin Tat Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Tat Lee","raw_affiliation_strings":["University of Washington, Seattle, USA / Microsoft Research, Redmond, USA"],"raw_orcid":"https://orcid.org/0000-0002-4692-5442","affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, USA / Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I58610484","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042979350","display_name":"Swati Padmanabhan","orcid":"https://orcid.org/0000-0002-4834-2136"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swati Padmanabhan","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":"https://orcid.org/0000-0002-4834-2136","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020313259","display_name":"William Swartworth","orcid":"https://orcid.org/0009-0000-5010-2126"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Swartworth","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0009-0000-5010-2126","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102861589","display_name":"David P. Woodruff","orcid":"https://orcid.org/0000-0002-2158-1380"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David P. Woodruff","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0002-2158-1380","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089626644","display_name":"Guanghao Ye","orcid":"https://orcid.org/0000-0002-1197-0649"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guanghao Ye","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":"https://orcid.org/0000-0002-1197-0649","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065433001"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.3293,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62740261,"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":"1130","last_page":"1140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9983000159263611,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.6192198991775513},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5702871680259705},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5620638132095337},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.528473973274231},{"id":"https://openalex.org/keywords/communication-complexity","display_name":"Communication complexity","score":0.48477643728256226},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4825548529624939},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4786461591720581},{"id":"https://openalex.org/keywords/interior-point-method","display_name":"Interior point method","score":0.4565240740776062},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.45128685235977173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4383791983127594},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4304765462875366},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3828904330730438},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3311816453933716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3203803300857544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1246536374092102}],"concepts":[{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.6192198991775513},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5702871680259705},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5620638132095337},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.528473973274231},{"id":"https://openalex.org/C179145077","wikidata":"https://www.wikidata.org/wiki/Q5154130","display_name":"Communication complexity","level":2,"score":0.48477643728256226},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4825548529624939},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4786461591720581},{"id":"https://openalex.org/C155253501","wikidata":"https://www.wikidata.org/wiki/Q461992","display_name":"Interior point method","level":2,"score":0.4565240740776062},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.45128685235977173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4383791983127594},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4304765462875366},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3828904330730438},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3311816453933716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3203803300857544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1246536374092102},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3618260.3649787","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618260.3649787","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649787","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3618260.3649787","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618260.3649787","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649787","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2392833675","display_name":null,"funder_award_id":"DMS-2022448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2798763028","display_name":"CAREER: The Interplay between Combinatorial Optimization and Algorithmic Convex Geometry","funder_award_id":"1749609","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3140130217","display_name":"Collaborative Research: AF: Medium: Foundations of Structured Optimization","funder_award_id":"1955217","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4858982592","display_name":"TRIPODS+X: RES: Collaborative Research: Scaling Up Descriptive Epidemiology and Metabolic Network Models via Faster Sampling","funder_award_id":"1839116","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5193979392","display_name":null,"funder_award_id":"DMS-1839116","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5699341734","display_name":null,"funder_award_id":"CCF-1955217","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7116278599","display_name":null,"funder_award_id":"CCF-1749609","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8186134642","display_name":"Collaborative Research: AF: Medium: Fundamental Challenges in Optimization","funder_award_id":"2105772","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8294762899","display_name":"Foundations of Data Science Institute","funder_award_id":"2022448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399521460.pdf","grobid_xml":"https://content.openalex.org/works/W4399521460.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W125138126","https://openalex.org/W230726820","https://openalex.org/W1506295250","https://openalex.org/W1603765807","https://openalex.org/W1632601927","https://openalex.org/W1921673521","https://openalex.org/W1987752344","https://openalex.org/W2012445782","https://openalex.org/W2044212084","https://openalex.org/W2049469158","https://openalex.org/W2066332749","https://openalex.org/W2069291005","https://openalex.org/W2084990336","https://openalex.org/W2092871850","https://openalex.org/W2107917944","https://openalex.org/W2130062883","https://openalex.org/W2148087609","https://openalex.org/W2151685478","https://openalex.org/W2155938367","https://openalex.org/W2165744313","https://openalex.org/W2173213060","https://openalex.org/W2258635823","https://openalex.org/W2279901945","https://openalex.org/W2295766446","https://openalex.org/W2414455940","https://openalex.org/W2855237659","https://openalex.org/W2883059862","https://openalex.org/W2883109957","https://openalex.org/W2952594493","https://openalex.org/W2962682298","https://openalex.org/W2963098024","https://openalex.org/W3002117425","https://openalex.org/W3016839154","https://openalex.org/W3034220602","https://openalex.org/W3034414685","https://openalex.org/W3116248644","https://openalex.org/W3116579057","https://openalex.org/W3137198482","https://openalex.org/W3150789036","https://openalex.org/W3162404902","https://openalex.org/W3165200223","https://openalex.org/W4221162731","https://openalex.org/W4299608428","https://openalex.org/W4390098177"],"related_works":["https://openalex.org/W2965106131","https://openalex.org/W2094757704","https://openalex.org/W2114808974","https://openalex.org/W25030584","https://openalex.org/W29231041","https://openalex.org/W2610104823","https://openalex.org/W2074889170","https://openalex.org/W2092044038","https://openalex.org/W2144582354","https://openalex.org/W2204863336"],"abstract_inverted_index":{"We":[0,19,101],"consider":[1],"the":[2,12,37,75,95,119,131,141,145],"communication":[3,17,106],"complexity":[4],"of":[5,39,55,77,134,147],"some":[6],"fundamental":[7,57],"convex":[8,42],"optimization":[9],"problems":[10,58],"in":[11,86,98,140,155],"point-to-point":[13],"(coordinator)":[14],"and":[15,48,113,137],"blackboard":[16],"models.":[18],"strengthen":[20],"known":[21],"bounds":[22,60],"for":[23,52,108],"approximately":[24],"solving":[25],"linear":[26,34,135,138],"regression,":[27],"p-norm":[28],"regression":[29],"(for":[30],"1\u2264":[31],"p\u2264":[32],"2),":[33],"programming,":[35],"minimizing":[36],"sum":[38],"finitely":[40],"many":[41],"nonsmooth":[43],"functions":[44],"with":[45],"varying":[46],"supports,":[47],"low":[49],"rank":[50],"approximation;":[51],"a":[53,104,115],"number":[54,146],"these":[56],"our":[59,67,71],"are":[61],"nearly":[62],"optimal,":[63],"as":[64,89,91],"proven":[65],"by":[66],"lower":[68,116,124],"bounds.":[69],"Among":[70],"techniques,":[72],"we":[73],"use":[74],"notion":[76],"block":[78],"leverage":[79],"scores,":[80],"which":[81],"have":[82],"been":[83],"relatively":[84],"unexplored":[85],"this":[87],"context,":[88],"well":[90],"dropping":[92],"all":[93],"but":[94],"\u201cmiddle\u201d":[96],"bits":[97],"Richardson-style":[99],"algorithms.":[100],"also":[102],"introduce":[103],"new":[105],"problem":[107],"accurately":[109],"approximating":[110],"inner":[111],"products":[112],"establish":[114],"bound":[117,125],"using":[118],"spherical":[120],"Radon":[121],"transform.":[122],"Our":[123],"can":[126],"be":[127],"used":[128],"to":[129],"show":[130],"first":[132],"separation":[133],"programming":[136],"systems":[139],"distributed":[142],"model":[143],"when":[144],"constraints":[148],"is":[149],"polynomial,":[150],"addressing":[151],"an":[152],"open":[153],"question":[154],"prior":[156],"work.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
