{"id":"https://openalex.org/W3014019261","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049028","title":"On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization","display_name":"On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3014019261","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049028","mag":"3014019261"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9049028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd 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/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":true,"raw_author_name":"Wei Xu","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614598","display_name":"Kun Yuan","orcid":"https://orcid.org/0000-0001-8394-8187"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Yuan","raw_affiliation_strings":["University of California,Los Angeles","University of California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"University of California,Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085908411","display_name":"Wotao Yin","orcid":"https://orcid.org/0000-0001-6697-9731"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wotao Yin","raw_affiliation_strings":["University of California,Los Angeles","University of California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"University of California,Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"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":["Sun Yat-Sen University,Guangdong Province Key Laboratory of Computational Science","Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Guangdong Province Key Laboratory of Computational Science","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101685540"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.1768,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58233263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1501","last_page":"1505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":1.0,"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":1.0,"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":0.9976999759674072,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7153263092041016},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6709515452384949},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6393957138061523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6204565763473511},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5606499314308167},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.528335452079773},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4387776851654053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33088111877441406},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22548556327819824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08226528763771057}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7153263092041016},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6709515452384949},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6393957138061523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6204565763473511},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5606499314308167},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.528335452079773},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4387776851654053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33088111877441406},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22548556327819824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08226528763771057},{"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9049028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1553365534","https://openalex.org/W1571416372","https://openalex.org/W1616857247","https://openalex.org/W1964927113","https://openalex.org/W1979849743","https://openalex.org/W1982545958","https://openalex.org/W2012445782","https://openalex.org/W2044212084","https://openalex.org/W2056263844","https://openalex.org/W2075677880","https://openalex.org/W2092620240","https://openalex.org/W2094180272","https://openalex.org/W2112603423","https://openalex.org/W2114144879","https://openalex.org/W2114791779","https://openalex.org/W2123705108","https://openalex.org/W2134379805","https://openalex.org/W2148087609","https://openalex.org/W2151565294","https://openalex.org/W2266148951","https://openalex.org/W2291434103","https://openalex.org/W2295500362","https://openalex.org/W2537046506","https://openalex.org/W2568350243","https://openalex.org/W2590184275","https://openalex.org/W2606681432","https://openalex.org/W2609549560","https://openalex.org/W2763533254","https://openalex.org/W2789243870","https://openalex.org/W2792751837","https://openalex.org/W2935965174","https://openalex.org/W2962937944","https://openalex.org/W2963649943","https://openalex.org/W2963883882","https://openalex.org/W2964165783","https://openalex.org/W3042491641","https://openalex.org/W3099715789","https://openalex.org/W3100513551","https://openalex.org/W3101665129","https://openalex.org/W4205987271","https://openalex.org/W4238850922","https://openalex.org/W6748632073","https://openalex.org/W6761154839","https://openalex.org/W6765356265"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2785612136","https://openalex.org/W2099529706","https://openalex.org/W1988224651","https://openalex.org/W2096179639","https://openalex.org/W2560916850"],"abstract_inverted_index":{"This":[0,78],"paper":[1,100],"considers":[2],"the":[3,28,35,58,104,108,116,145,156,171,205],"decentralized":[4,43,92,111,119],"dynamic":[5,44,93,135,193],"optimization":[6,46],"problem":[7,47,59],"defined":[8],"over":[9],"a":[10,16,175],"multi-agent":[11],"network.":[12],"Each":[13],"agent":[14],"possesses":[15],"time-varying":[17],"local":[18,39],"objective":[19,40],"function,":[20],"and":[21,56,102,115,174],"all":[22,38],"agents":[23],"aim":[24],"to":[25,61,75,81,170,190,203],"collaboratively":[26],"track":[27],"drifting":[29],"global":[30],"optimal":[31,148,160],"solution":[32],"that":[33,70,126,139,165],"minimizes":[34],"summation":[36],"of":[37,107,147,159],"functions.":[41],"The":[42],"consensus":[45],"can":[48,129,178],"be":[49,62],"solved":[50],"by":[51,144,155],"primal":[52,76,89,109,127],"or":[53],"primal-dual":[54,71,84,117,131],"methods,":[55],"when":[57],"degenerates":[60],"static,":[63],"it":[64],"has":[65],"been":[66],"proved":[67],"in":[68,91,133,195],"literature":[69],"strategies":[72,85],"are":[73,83,201],"superior":[74],"ones.":[77],"motivates":[79],"us":[80],"ask:":[82],"necessarily":[86],"better":[87],"than":[88],"ones":[90],"optimization?":[94],"To":[95],"answer":[96],"this":[97,99],"question,":[98],"studies":[101],"compares":[103],"convergence":[105,182],"properties":[106],"approach,":[110,118],"gradient":[112,120],"descent":[113],"(DGD),":[114],"tracking":[121],"(DGT).":[122],"Theoretical":[123],"analysis":[124],"reveals":[125],"methods":[128,132],"outperform":[130],"some":[134],"settings.":[136],"We":[137],"find":[138],"DGT":[140,166],"is":[141,152,167],"highly":[142],"influenced":[143],"variation":[146],"gradients":[149],"while":[150],"DGD":[151],"greatly":[153],"affected":[154],"upper":[157],"bound":[158],"gradients.":[161],"Moreover,":[162],"we":[163],"show":[164],"more":[168],"sensitive":[169],"network":[172,177],"topology":[173],"sparsely-connected":[176],"significantly":[179],"deteriorate":[180],"its":[181],"performance.":[183],"These":[184],"conclusions":[185],"provide":[186],"guidelines":[187],"on":[188],"how":[189],"choose":[191],"proper":[192],"algorithms":[194],"various":[196],"application":[197],"scenarios.":[198],"Numerical":[199],"experiments":[200],"constructed":[202],"validate":[204],"theoretical":[206],"analysis.":[207]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
