{"id":"https://openalex.org/W2346227670","doi":"https://doi.org/10.1109/cdc.2016.7798551","title":"New primal-dual proximal algorithm for distributed optimization","display_name":"New primal-dual proximal algorithm for distributed optimization","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2346227670","doi":"https://doi.org/10.1109/cdc.2016.7798551","mag":"2346227670"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7798551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1605.01986","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060005608","display_name":"Puya Latafat","orcid":"https://orcid.org/0000-0002-7969-8565"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Puya Latafat","raw_affiliation_strings":["IMT School for Advanced Studies Lucca, Lucca, Italy","IMT School for Advanced Studies Lucca, Piazza San Francesco 19, 55100, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies Lucca, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]},{"raw_affiliation_string":"IMT School for Advanced Studies Lucca, Piazza San Francesco 19, 55100, Italy","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028410511","display_name":"Lorenzo Stella","orcid":"https://orcid.org/0000-0002-8304-7327"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lorenzo Stella","raw_affiliation_strings":["Department of Electrical Engineering (ESAT-STADIUS), Optimization in Engineering Center (OPTEC), Leuven-Heverlee, Belgium","Department of Electrical Engineering (ESAT-STADIUS) and Optimization in Engineering Center (OPTEC), KU Leuven, Kasteelpark Arenberg 10, 3001 Heverlee, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT-STADIUS), Optimization in Engineering Center (OPTEC), Leuven-Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Department of Electrical Engineering (ESAT-STADIUS) and Optimization in Engineering Center (OPTEC), KU Leuven, Kasteelpark Arenberg 10, 3001 Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031380765","display_name":"Panagiotis Patrinos","orcid":"https://orcid.org/0000-0003-4824-7697"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Panagiotis Patrinos","raw_affiliation_strings":["Department of Electrical Engineering (ESAT-STADIUS), Optimization in Engineering Center (OPTEC), Leuven-Heverlee, Belgium","Department of Electrical Engineering (ESAT-STADIUS) and Optimization in Engineering Center (OPTEC), KU Leuven, Kasteelpark Arenberg 10, 3001 Heverlee, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT-STADIUS), Optimization in Engineering Center (OPTEC), Leuven-Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Department of Electrical Engineering (ESAT-STADIUS) and Optimization in Engineering Center (OPTEC), KU Leuven, Kasteelpark Arenberg 10, 3001 Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1959","last_page":"1964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991999864578247,"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":0.9983999729156494,"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/convex-function","display_name":"Convex function","score":0.6334589719772339},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.6296678781509399},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5811134576797485},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5745402574539185},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5273398160934448},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5179926156997681},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5067649483680725},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5002856254577637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4907885491847992},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49064651131629944},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4677700400352478},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.44637900590896606},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4457620680332184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43818244338035583},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41484513878822327},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4142380356788635},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.21666955947875977},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.08035090565681458}],"concepts":[{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.6334589719772339},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.6296678781509399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5811134576797485},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5745402574539185},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5273398160934448},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5179926156997681},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5067649483680725},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5002856254577637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4907885491847992},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49064651131629944},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4677700400352478},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.44637900590896606},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4457620680332184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43818244338035583},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41484513878822327},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4142380356788635},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.21666955947875977},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.08035090565681458},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cdc.2016.7798551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1605.01986","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.01986","pdf_url":"https://arxiv.org/pdf/1605.01986","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2346227670","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1605.01986.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1605.01986","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.01986","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1605.01986","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.01986","pdf_url":"https://arxiv.org/pdf/1605.01986","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W205960364","https://openalex.org/W1946620893","https://openalex.org/W1996871911","https://openalex.org/W1998991750","https://openalex.org/W2007437458","https://openalex.org/W2017111192","https://openalex.org/W2044212084","https://openalex.org/W2046387702","https://openalex.org/W2047003499","https://openalex.org/W2056578325","https://openalex.org/W2068628888","https://openalex.org/W2071236014","https://openalex.org/W2092663520","https://openalex.org/W2114423093","https://openalex.org/W2140041377","https://openalex.org/W2148087609","https://openalex.org/W2152637881","https://openalex.org/W2164278908","https://openalex.org/W2290544825","https://openalex.org/W3100068403","https://openalex.org/W3101665129","https://openalex.org/W4229650096","https://openalex.org/W4231183558","https://openalex.org/W4292363360","https://openalex.org/W6679676526","https://openalex.org/W6696384641"],"related_works":["https://openalex.org/W2963522397","https://openalex.org/W3015546775","https://openalex.org/W3097815865","https://openalex.org/W2950890404","https://openalex.org/W3046746344","https://openalex.org/W3011532515","https://openalex.org/W3093973376","https://openalex.org/W2889833110","https://openalex.org/W2785973211","https://openalex.org/W2982067894","https://openalex.org/W2964103300","https://openalex.org/W2553170025","https://openalex.org/W2949946195","https://openalex.org/W3012206388","https://openalex.org/W3174331557","https://openalex.org/W2894097811","https://openalex.org/W2982374653","https://openalex.org/W2794245409","https://openalex.org/W3180177547","https://openalex.org/W2913664433"],"abstract_inverted_index":{"We":[0,65,112,132],"consider":[1],"a":[2,28,60,63,67,75,97],"network":[3],"of":[4,13,16,23,53,84,92,141],"agents,":[5],"each":[6,34],"with":[7,27,43],"its":[8,44],"own":[9],"private":[10,55],"cost":[11,56,107],"consisting":[12],"the":[14,51,54,85,90,106,123,139],"sum":[15],"two":[17,83],"possibly":[18],"nonsmooth":[19],"convex":[20],"functions,":[21],"one":[22],"which":[24],"is":[25,48,118],"composed":[26],"linear":[29,102],"operator.":[30],"At":[31],"every":[32],"iteration":[33],"agent":[35],"performs":[36],"local":[37],"calculations":[38],"and":[39,58,94,100,150],"can":[40,144],"only":[41],"communicate":[42],"neighbors.":[45],"The":[46],"goal":[47],"to":[49,120,125,146],"minimize":[50],"aggregate":[52],"functions":[57,108],"reach":[59],"consensus":[61],"over":[62],"graph.":[64],"propose":[66],"primal-dual":[68],"algorithm":[69,88,117,143],"based":[70],"on":[71],"Asymmetric":[72],"Forward-Backward-Adjoint":[73],"(AFBA),":[74],"new":[76],"operator":[77],"splitting":[78],"technique":[79],"introduced":[80],"recently":[81],"by":[82],"authors.":[86],"Our":[87],"includes":[89],"method":[91],"Chambolle":[93],"Pock":[95],"as":[96],"special":[98],"case":[99],"has":[101],"convergence":[103],"rate":[104],"when":[105],"are":[109],"piecewise":[110],"linear-quadratic.":[111],"show":[113],"that":[114],"our":[115,142],"distributed":[116],"easy":[119],"implement":[121],"without":[122],"need":[124],"perform":[126],"matrix":[127],"inversions":[128],"or":[129],"inner":[130],"loops.":[131],"demonstrate":[133],"through":[134],"computational":[135],"experiments":[136],"how":[137],"selecting":[138],"parameter":[140],"lead":[145],"larger":[147],"step":[148],"sizes":[149],"yield":[151],"better":[152],"performance.":[153]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
