{"id":"https://openalex.org/W4407950394","doi":"https://doi.org/10.1109/cdc56724.2024.10886355","title":"A Totally Asynchronous Nesterov\u2019s Accelerated Gradient Method for Convex Optimization","display_name":"A Totally Asynchronous Nesterov\u2019s Accelerated Gradient Method for Convex Optimization","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407950394","doi":"https://doi.org/10.1109/cdc56724.2024.10886355"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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/A5065840398","display_name":"Ellie Pond","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ellie Pond","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099173840","display_name":"April Sebok","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"April Sebok","raw_affiliation_strings":["University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,USA,32611"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,USA,32611","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017779570","display_name":"Zachary I. Bell","orcid":"https://orcid.org/0000-0002-9574-8104"},"institutions":[{"id":"https://openalex.org/I2801461044","display_name":"Eglin Air Force Base","ror":"https://ror.org/002c7zk35","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2801461044","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary Bell","raw_affiliation_strings":["AFRL/RW at Eglin AFB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AFRL/RW at Eglin AFB","institution_ids":["https://openalex.org/I2801461044"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022644062","display_name":"Matthew Hale","orcid":"https://orcid.org/0000-0003-3991-1680"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Hale","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26892977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3845","last_page":"3850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9908999800682068,"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/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.5509049296379089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5337029099464417},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5331650972366333},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.5235400199890137},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.48991864919662476},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.46505674719810486},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4371255338191986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33059000968933105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29582756757736206}],"concepts":[{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.5509049296379089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5337029099464417},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5331650972366333},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.5235400199890137},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.48991864919662476},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.46505674719810486},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4371255338191986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33059000968933105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29582756757736206},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W562372631","https://openalex.org/W1030513622","https://openalex.org/W2025764057","https://openalex.org/W2033976741","https://openalex.org/W2101986122","https://openalex.org/W2202063402","https://openalex.org/W2962946341","https://openalex.org/W2966711475","https://openalex.org/W3034810578","https://openalex.org/W3092460168","https://openalex.org/W3120495285","https://openalex.org/W3136458384","https://openalex.org/W3185388573","https://openalex.org/W4206742934","https://openalex.org/W4382935668","https://openalex.org/W4389279177","https://openalex.org/W6759078672"],"related_works":["https://openalex.org/W2963086517","https://openalex.org/W2564735875","https://openalex.org/W3123504125","https://openalex.org/W3147739796","https://openalex.org/W1983212821","https://openalex.org/W3127841625","https://openalex.org/W2811217697","https://openalex.org/W2364728921","https://openalex.org/W2348618647","https://openalex.org/W2916278477"],"abstract_inverted_index":{"We":[0],"present":[1,84],"a":[2,13,71],"totally":[3],"asynchronous":[4],"algorithm":[5,22,129,138],"for":[6,25,45,65],"convex":[7],"optimization":[8],"that":[9,59,90,127],"is":[10,23,54,62],"based":[11],"on":[12,86],"novel":[14],"generalization":[15],"of":[16,74,107],"Nesterov\u2019s":[17],"accelerated":[18],"gradient":[19,144],"method.":[20],"This":[21],"developed":[24],"fast":[26],"convergence":[27,93],"under":[28,146],"\u201ctotal":[29],"asynchrony\u201d":[30],"which":[31],"allows":[32],"arbitrarily":[33],"long":[34],"delays":[35],"between":[36,102],"agents\u2019":[37,118],"computations":[38,108],"and":[39,67,109,115,139],"communications.":[40],"These":[41],"conditions":[42],"may":[43],"arise,":[44],"example,":[46],"due":[47],"to":[48,70,94,121],"jamming":[49],"by":[50,112],"adversaries.":[51],"Our":[52],"framework":[53],"block-based,":[55],"in":[56],"the":[57,75,87,100,104,113,117,135],"sense":[58],"each":[60],"agent":[61],"only":[63],"responsible":[64],"computing":[66],"communicating":[68],"updates":[69],"small":[72],"subset":[73],"network-level":[76],"decision":[77],"variables.":[78],"In":[79],"our":[80],"main":[81],"result,":[82],"we":[83,98],"bounds":[85],"algorithm\u2019s":[88],"parameters":[89],"guarantee":[91],"linear":[92],"an":[95,122],"optimizer.":[96],"Then,":[97],"quantify":[99],"relationship":[101],"(i)":[103],"total":[105,147],"number":[106],"communications":[110],"executed":[111],"agents":[114],"(ii)":[116],"collective":[119],"distance":[120],"optimum.":[123],"Numerical":[124],"simulations":[125],"show":[126],"this":[128],"requires":[130],"28%":[131],"fewer":[132,141],"iterations":[133,142],"than":[134,143],"heavy":[136],"ball":[137],"61%":[140],"descent":[145],"asynchrony.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}