{"id":"https://openalex.org/W4388736855","doi":"https://doi.org/10.1109/iecon51785.2023.10312443","title":"Distributed Frank-Wolfe Algorithm for Stochastic Aggregative Optimization","display_name":"Distributed Frank-Wolfe Algorithm for Stochastic Aggregative Optimization","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4388736855","doi":"https://doi.org/10.1109/iecon51785.2023.10312443"},"language":"en","primary_location":{"id":"doi:10.1109/iecon51785.2023.10312443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10312443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100715502","display_name":"Liyuan Chen","orcid":"https://orcid.org/0000-0002-5345-0086"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Chen","raw_affiliation_strings":["School of Mathematics, Southeast University,Nanjing,China","School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040088510","display_name":"Guanghui Wen","orcid":"https://orcid.org/0000-0003-0070-8597"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Wen","raw_affiliation_strings":["School of Mathematics, Southeast University,Nanjing,China","School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9984999895095825,"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":0.9843999743461609,"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/sublinear-function","display_name":"Sublinear function","score":0.7113447189331055},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.6741039156913757},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5828998684883118},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5761940479278564},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5692915320396423},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5499847531318665},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.5063244104385376},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.495547890663147},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4920203387737274},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.45652949810028076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4513140022754669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4407649636268616},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4401416480541229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4399090111255646},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.4221588969230652},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.24658384919166565},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.0756816565990448},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06813517212867737}],"concepts":[{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.7113447189331055},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.6741039156913757},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5828998684883118},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5761940479278564},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5692915320396423},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5499847531318665},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.5063244104385376},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.495547890663147},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4920203387737274},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.45652949810028076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4513140022754669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4407649636268616},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4401416480541229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4399090111255646},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.4221588969230652},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.24658384919166565},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0756816565990448},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06813517212867737},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"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/iecon51785.2023.10312443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10312443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3361262290","display_name":null,"funder_award_id":"2022YFA1004702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3762805152","display_name":null,"funder_award_id":"U22B2046,62073079,62088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5627460695","display_name":null,"funder_award_id":"8091B022114","funder_id":"https://openalex.org/F4320311687","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2066332749","https://openalex.org/W2136885855","https://openalex.org/W2273484141","https://openalex.org/W2603533168","https://openalex.org/W2669559693","https://openalex.org/W2890467898","https://openalex.org/W2922128661","https://openalex.org/W2936553313","https://openalex.org/W2944906762","https://openalex.org/W2963156201","https://openalex.org/W3104871901","https://openalex.org/W3128979090","https://openalex.org/W3136430455","https://openalex.org/W3153395890","https://openalex.org/W3180881483","https://openalex.org/W3186517820","https://openalex.org/W3196896584","https://openalex.org/W4289537488","https://openalex.org/W4294811352","https://openalex.org/W4321788673","https://openalex.org/W6676105031","https://openalex.org/W6680196509","https://openalex.org/W6734509502"],"related_works":["https://openalex.org/W2945629716","https://openalex.org/W4283775266","https://openalex.org/W4298860769","https://openalex.org/W3043533097","https://openalex.org/W2767126220","https://openalex.org/W3007770227","https://openalex.org/W2149119057","https://openalex.org/W4292651679","https://openalex.org/W2400034325","https://openalex.org/W2499557797"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,52,79],"concerned":[3],"with":[4,12,75],"the":[5,16,32,39,56,63,70,83,96,108],"distributed":[6,46],"stochastic":[7,48,67],"aggregative":[8,47],"optimization":[9],"(DSAO)":[10],"problem":[11],"constraint":[13],"set,":[14],"where":[15],"local":[17],"expected-value":[18],"cost":[19,100],"function":[20],"of":[21,34,91,110],"each":[22],"agent":[23],"depends":[24],"both":[25],"on":[26,31],"its":[27],"own":[28],"decisions":[29],"and":[30,98],"aggregation":[33,40],"other":[35],"agents'":[36],"decisions,":[37],"i.e.,":[38],"function.":[41],"For":[42],"this":[43],"reason,":[44],"a":[45,87],"Frank-Wolfe":[49,71],"(DAS-FW)":[50],"algorithm":[51,85],"designed":[53],"by":[54],"introducing":[55,69],"momentum-based":[57],"variance":[58,64],"reduction":[59],"technique":[60],"to":[61,66,73,106],"reduce":[62],"due":[65],"gradients,":[68],"method":[72],"deal":[74],"constraint.":[76],"Then,":[77],"it":[78],"theoretically":[80],"shown":[81],"that":[82],"DAS-FW":[84],"owns":[86],"sublinear":[88],"convergence":[89],"rate":[90],"<tex":[92],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$O(k^{-\\frac{1}{2}})$</tex>":[94],"for":[95],"convex":[97],"smooth":[99],"functions.":[101],"Finally,":[102],"simulations":[103],"are":[104],"presented":[105],"verify":[107],"validity":[109],"our":[111],"theoretical":[112],"results.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
