{"id":"https://openalex.org/W4414110533","doi":"https://doi.org/10.1109/tac.2025.3608057","title":"Open Distributed Convex Optimization","display_name":"Open Distributed Convex Optimization","publication_year":2025,"publication_date":"2025-09-10","ids":{"openalex":"https://openalex.org/W4414110533","doi":"https://doi.org/10.1109/tac.2025.3608057"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2025.3608057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3608057","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automatic Control","raw_type":"journal-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":null,"display_name":"Xiaoyu Wu","orcid":"https://orcid.org/0009-0008-4628-3938"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Wu","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang Normal University, Jinhua, China"],"raw_orcid":"https://orcid.org/0009-0008-4628-3938","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567227","display_name":"Jie Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lin","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9111-9044","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111328686","display_name":"Shanchan Jiang","orcid":"https://orcid.org/0009-0000-9014-3758"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanchan Jiang","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang Normal University, Jinhua, China"],"raw_orcid":"https://orcid.org/0009-0000-9014-3758","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456078","display_name":"Zhicheng Zhang","orcid":"https://orcid.org/0000-0001-7622-624X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhicheng Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7622-624X","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101868265","display_name":"Yingxue Du","orcid":"https://orcid.org/0000-0002-9432-9530"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxue Du","raw_affiliation_strings":["School of Automation and Electrical Engineering, Linyi University, Linyi, China"],"raw_orcid":"https://orcid.org/0000-0002-9432-9530","affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Linyi University, Linyi, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602808","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0001-9305-1752"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang Normal University, Jinhua, China"],"raw_orcid":"https://orcid.org/0000-0001-9305-1752","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135237710"],"apc_list":null,"apc_paid":null,"fwci":2.7033,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91897447,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"71","issue":"2","first_page":"1302","last_page":"1309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9277999997138977,"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":0.9277999997138977,"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/dimension","display_name":"Dimension (graph theory)","score":0.5576000213623047},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5442000031471252},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4733999967575073},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45840001106262207},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.43619999289512634},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43619999289512634},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.41130000352859497},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.3871000111103058},{"id":"https://openalex.org/keywords/convex-analysis","display_name":"Convex analysis","score":0.3790999948978424}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.708899974822998},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5576000213623047},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5442000031471252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5042999982833862},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45840001106262207},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.43619999289512634},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3991999924182892},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.3871000111103058},{"id":"https://openalex.org/C12108790","wikidata":"https://www.wikidata.org/wiki/Q2234833","display_name":"Convex analysis","level":4,"score":0.3790999948978424},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C79187972","wikidata":"https://www.wikidata.org/wiki/Q2654791","display_name":"Conic optimization","level":5,"score":0.3197000026702881},{"id":"https://openalex.org/C49870271","wikidata":"https://www.wikidata.org/wiki/Q193657","display_name":"Convex set","level":4,"score":0.31850001215934753},{"id":"https://openalex.org/C177067428","wikidata":"https://www.wikidata.org/wiki/Q17013331","display_name":"Feasible region","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C200661725","wikidata":"https://www.wikidata.org/wiki/Q289500","display_name":"Subderivative","level":4,"score":0.3107999861240387},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C50862404","wikidata":"https://www.wikidata.org/wiki/Q3075259","display_name":"Proper convex function","level":5,"score":0.27889999747276306},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.26269999146461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tac.2025.3608057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3608057","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automatic Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1866222675","display_name":null,"funder_award_id":"62203394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1571416372","https://openalex.org/W2008141156","https://openalex.org/W2027741263","https://openalex.org/W2044212084","https://openalex.org/W2114791779","https://openalex.org/W2115594466","https://openalex.org/W2129122308","https://openalex.org/W2137435346","https://openalex.org/W2160643434","https://openalex.org/W2164642931","https://openalex.org/W2191781618","https://openalex.org/W2737743075","https://openalex.org/W2760431120","https://openalex.org/W2763081248","https://openalex.org/W2802328008","https://openalex.org/W2962771678","https://openalex.org/W2963550797","https://openalex.org/W2964211247","https://openalex.org/W3039791234","https://openalex.org/W3082537519","https://openalex.org/W3120141667","https://openalex.org/W3180881483","https://openalex.org/W4210289794","https://openalex.org/W4292413303","https://openalex.org/W4312651568","https://openalex.org/W4386822308","https://openalex.org/W4400070507","https://openalex.org/W4402167591","https://openalex.org/W4406233907","https://openalex.org/W4406856910","https://openalex.org/W4410639984"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,11,37,59,77,83],"distributed":[4],"convex":[5],"optimization":[6],"problem":[7],"where":[8],"dimension":[9],"of":[10],"feasible":[12],"set":[13],"is":[14],"fluctuated.":[15],"To":[16],"address":[17],"this,":[18],"we":[19,57,81],"formulate":[20],"an":[21,42],"open":[22],"consensus":[23,67],"algorithm":[24],"that":[25,66,73],"enables":[26],"agents":[27,74],"to":[28,45,62,76],"join":[29],"or":[30],"leave":[31],"at":[32],"any":[33],"time":[34],"while":[35],"seeking":[36],"optimal":[38,78],"solution.":[39,79],"By":[40],"introducing":[41],"auxiliary":[43],"variable":[44],"account":[46],"for":[47],"agent":[48],"departures":[49],"and":[50,70,86,94],"incorporating":[51],"a":[52,91,95],"diminishing":[53],"gradient":[54],"descent":[55],"scheme,":[56],"seek":[58],"Lyapunov-based":[60],"method":[61,85],"establish":[63],"conditions":[64],"ensuring":[65],"remains":[68],"achievable":[69],"rigorously":[71],"proving":[72],"aggregate":[75],"Finally,":[80],"validate":[82],"proposed":[84],"theoretical":[87],"findings":[88],"through":[89],"both":[90],"numerical":[92],"example":[93],"practical":[96],"instance.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
