{"id":"https://openalex.org/W2919465294","doi":"https://doi.org/10.1109/acssc.2018.8645302","title":"COCA: Communication-Censored ADMM for Decentralized Consensus Optimization","display_name":"COCA: Communication-Censored ADMM for Decentralized Consensus Optimization","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919465294","doi":"https://doi.org/10.1109/acssc.2018.8645302","mag":"2919465294"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2018.8645302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645302","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","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/A5100674174","display_name":"Yaohua Liu","orcid":"https://orcid.org/0000-0003-2016-1605"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaohua Liu","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101685540","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0003-2914-9039"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717611","display_name":"Gang Wu","orcid":"https://orcid.org/0000-0001-9595-527X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wu","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073942971","display_name":"Zhi Tian","orcid":"https://orcid.org/0000-0002-2738-6826"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi Tian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Mason University, Fairfax, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029820392","display_name":"Qing Ling","orcid":"https://orcid.org/0000-0003-4222-5964"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ling","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100674174"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.8807,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87076923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.998199999332428,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coca","display_name":"Coca","score":0.8365216851234436},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.657684862613678},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6531538963317871},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6409890651702881},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.6325734853744507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6056885719299316},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5356146097183228},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5174251794815063},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4846940338611603},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4445101320743561},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.42704176902770996},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.36724478006362915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26766103506088257},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08330175280570984}],"concepts":[{"id":"https://openalex.org/C2781313679","wikidata":"https://www.wikidata.org/wiki/Q66793593","display_name":"Coca","level":2,"score":0.8365216851234436},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.657684862613678},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6531538963317871},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6409890651702881},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.6325734853744507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6056885719299316},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5356146097183228},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5174251794815063},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4846940338611603},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4445101320743561},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.42704176902770996},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.36724478006362915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26766103506088257},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08330175280570984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2018.8645302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645302","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1571416372","https://openalex.org/W1837707729","https://openalex.org/W1943968880","https://openalex.org/W2012812921","https://openalex.org/W2044212084","https://openalex.org/W2108970807","https://openalex.org/W2117412539","https://openalex.org/W2123705108","https://openalex.org/W2167183308","https://openalex.org/W2191781618","https://openalex.org/W2228259114","https://openalex.org/W2515624991","https://openalex.org/W2537046506","https://openalex.org/W2616681435","https://openalex.org/W2617960902","https://openalex.org/W2937905591","https://openalex.org/W2962771678","https://openalex.org/W2963228337","https://openalex.org/W2963855576","https://openalex.org/W6638931573","https://openalex.org/W6732116920","https://openalex.org/W6737866955","https://openalex.org/W6738250615","https://openalex.org/W6745175704"],"related_works":["https://openalex.org/W2738862710","https://openalex.org/W2419950109","https://openalex.org/W2400034325","https://openalex.org/W4292651679","https://openalex.org/W4299515259","https://openalex.org/W2499557797","https://openalex.org/W2985979428","https://openalex.org/W2510140549","https://openalex.org/W2187449906","https://openalex.org/W2962818859"],"abstract_inverted_index":{"In":[0],"this":[1,93,118],"paper,":[2],"we":[3],"devise":[4],"a":[5,16,23,48,80,112,166,176,205],"communication-efficient":[6],"decentralized":[7,28],"algorithm,":[8],"called":[9],"as":[10,33],"communication-censored":[11],"ADMM":[12,34],"(COCA),":[13],"to":[14,26,63,85,90,99,145,183,191],"solve":[15],"convex":[17,151],"consensus":[18,29,152],"optimization":[19,30,125,153],"problem":[20],"defined":[21],"over":[22],"network.":[24],"Similar":[25],"popular":[27],"algorithms":[31,193],"such":[32],"(abbreviated":[35],"for":[36,199],"the":[37,64,100,107,124,130,137,146,150,157,186],"alternating":[38],"direction":[39],"method":[40],"of":[41,46,76,106,149],"multipliers),":[42],"at":[43],"every":[44],"iteration":[45],"COCA,":[47],"node":[49,81],"exchanges":[50],"its":[51,59,69,87],"local":[52,60,70,88,158],"variable":[53,61,89,94],"with":[54],"neighbors,":[55,91],"and":[56,68,196],"then":[57],"updates":[58],"according":[62],"received":[65],"neighboring":[66],"variables":[67],"cost":[71,159,189],"function.":[72,116],"A":[73],"different":[74,98],"feature":[75],"COCA":[77,143,164,180],"is":[78,82,95,109,140,181,204],"that":[79,135],"not":[83,96],"allowed":[84],"transmit":[86],"if":[92,156],"sufficiently":[97],"previously":[101],"transmitted":[102],"one.":[103],"The":[104],"sufficiency":[105],"difference":[108],"evaluated":[110],"by":[111],"properly":[113,141],"designed":[114],"censoring":[115,119,138],"Though":[117],"strategy":[120],"may":[121],"slow":[122],"down":[123],"process,":[126],"it":[127],"effectively":[128],"reduces":[129],"communication":[131,188,203],"cost.":[132],"We":[133],"prove":[134],"when":[136],"function":[139],"chosen,":[142],"converges":[144],"optimal":[147],"solution":[148,178],"problem.":[154],"Further,":[155],"functions":[160],"are":[161],"strongly":[162],"convex,":[163],"has":[165],"fast":[167],"linear":[168],"convergence":[169],"rate.":[170],"Numerical":[171],"experiments":[172],"demonstrate":[173],"that,":[174],"given":[175],"target":[177],"accuracy,":[179],"able":[182],"significantly":[184],"reduce":[185],"overall":[187],"compared":[190],"existing":[192],"including":[194],"ADMM,":[195],"hence":[197],"fits":[198],"applications":[200],"where":[201],"network":[202],"bottleneck.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}