{"id":"https://openalex.org/W3015647945","doi":"https://doi.org/10.1109/icassp40776.2020.9054236","title":"A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization","display_name":"A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015647945","doi":"https://doi.org/10.1109/icassp40776.2020.9054236","mag":"3015647945"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100462851","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0003-1377-7938"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062775265","display_name":"Songyang Ge","orcid":"https://orcid.org/0000-0002-0376-3607"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyang Ge","raw_affiliation_strings":["School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064271996","display_name":"Tsung\u2010Hui Chang","orcid":"https://orcid.org/0000-0003-1349-2764"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsung-Hui Chang","raw_affiliation_strings":["School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101766226","display_name":"Zhi\u2010Quan Luo","orcid":"https://orcid.org/0000-0003-3995-914X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Quan Luo","raw_affiliation_strings":["School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science & Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"5740","last_page":"5744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7015435695648193},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.6406971216201782},{"id":"https://openalex.org/keywords/proper-convex-function","display_name":"Proper convex function","score":0.561728835105896},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5513076186180115},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5251516699790955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4929961860179901},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.48517948389053345},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4693259596824646},{"id":"https://openalex.org/keywords/conic-optimization","display_name":"Conic optimization","score":0.45826655626296997},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4373381435871124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41788938641548157},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.41298624873161316},{"id":"https://openalex.org/keywords/convex-analysis","display_name":"Convex analysis","score":0.3914629817008972}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7015435695648193},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.6406971216201782},{"id":"https://openalex.org/C50862404","wikidata":"https://www.wikidata.org/wiki/Q3075259","display_name":"Proper convex function","level":5,"score":0.561728835105896},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5513076186180115},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5251516699790955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4929961860179901},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.48517948389053345},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4693259596824646},{"id":"https://openalex.org/C79187972","wikidata":"https://www.wikidata.org/wiki/Q2654791","display_name":"Conic optimization","level":5,"score":0.45826655626296997},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4373381435871124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41788938641548157},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.41298624873161316},{"id":"https://openalex.org/C12108790","wikidata":"https://www.wikidata.org/wiki/Q2234833","display_name":"Convex analysis","level":4,"score":0.3914629817008972},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1571416372","https://openalex.org/W1616857247","https://openalex.org/W1943968880","https://openalex.org/W2009537245","https://openalex.org/W2022948311","https://openalex.org/W2027650277","https://openalex.org/W2092620240","https://openalex.org/W2100556411","https://openalex.org/W2127883485","https://openalex.org/W2137505594","https://openalex.org/W2155356457","https://openalex.org/W2164278908","https://openalex.org/W2266148951","https://openalex.org/W2535838896","https://openalex.org/W2733300693","https://openalex.org/W2737628516","https://openalex.org/W2803565980","https://openalex.org/W2905661132","https://openalex.org/W2911868526","https://openalex.org/W2960318545","https://openalex.org/W2964165783","https://openalex.org/W2980884817","https://openalex.org/W3048490699","https://openalex.org/W4230517232","https://openalex.org/W4292363360","https://openalex.org/W4297687186","https://openalex.org/W6656321345","https://openalex.org/W6740710678","https://openalex.org/W6748466764","https://openalex.org/W6757338941","https://openalex.org/W6766107292"],"related_works":["https://openalex.org/W2040676043","https://openalex.org/W3139158759","https://openalex.org/W3135309989","https://openalex.org/W3107799181","https://openalex.org/W4256242347","https://openalex.org/W2510140549","https://openalex.org/W3125145310","https://openalex.org/W2051968184","https://openalex.org/W2153986439","https://openalex.org/W4400783282"],"abstract_inverted_index":{"Motivated":[0],"by":[1,157],"large-scale":[2],"signal":[3],"processing":[4],"and":[5,32,88,111,135],"machine":[6],"learning":[7],"applications,":[8],"this":[9,92],"paper":[10],"considers":[11],"the":[12,25,43,48,62,81,86,100,112,120,130,152],"distributed":[13,77],"multi-agent":[14],"optimization":[15],"problem":[16,84,134],"for":[17,54,79],"a":[18,28,67,76,97,108,126,145],"linearly":[19,131],"constrained":[20,83,132],"non-convex":[21,63,89,133],"problem.":[22],"Each":[23],"of":[24,47,70,129,151],"agents":[26],"owns":[27],"local":[29,33],"cost":[30],"function":[31],"variable,":[34],"but":[35],"are":[36,51,59],"coupled":[37],"with":[38],"each":[39],"other":[40],"due":[41],"to":[42,66],"linear":[44,71,82],"constraint.":[45,72],"Most":[46],"existing":[49],"methods":[50],"either":[52],"applicable":[53],"convex":[55],"problems":[56],"only":[57],"or":[58],"developed":[60],"under":[61,85],"setting":[64],"subject":[65],"specific":[68],"type":[69],"There":[73],"still":[74],"lacks":[75],"method":[78,123,154],"solving":[80],"general":[87],"setting.":[90],"In":[91],"paper,":[93],"we":[94],"propose":[95],"such":[96],"method,":[98,105],"called":[99],"proximal":[101,109],"dual":[102,113],"consensus":[103,114],"(PDC)":[104],"that":[106,119],"combines":[107],"technique":[110],"method.":[115],"Theoretical":[116],"analysis":[117],"shows":[118],"proposed":[121,153],"PDC":[122],"can":[124],"yield":[125],"Karush-Kuhn-Tucker":[127],"solution":[128,146],"it":[136],"has":[137],"an":[138],"O(1/\u03b5)":[139],"iteration":[140],"complexity,":[141],"where":[142],"\u03b5":[143],"is":[144,155],"accuracy.":[147],"The":[148],"practical":[149],"behavior":[150],"examined":[156],"numerical":[158],"results.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}