{"id":"https://openalex.org/W4408609136","doi":"https://doi.org/10.1109/tac.2025.3552743","title":"Distributed Random Reshuffling Methods With Improved Convergence","display_name":"Distributed Random Reshuffling Methods With Improved Convergence","publication_year":2025,"publication_date":"2025-03-19","ids":{"openalex":"https://openalex.org/W4408609136","doi":"https://doi.org/10.1109/tac.2025.3552743"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2025.3552743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3552743","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":"https://openalex.org/A5038621489","display_name":"Kun Huang","orcid":"https://orcid.org/0000-0002-9326-6670"},"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":true,"raw_author_name":"Kun Huang","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China","School of Data Science, Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108845612","display_name":"Linli Zhou","orcid":"https://orcid.org/0009-0004-7416-4398"},"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":"Linli Zhou","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China","School of Data Science, Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032734653","display_name":"Shi Pu","orcid":"https://orcid.org/0000-0002-5813-527X"},"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":"Shi Pu","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China","School of Data Science, Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038621489"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":3.3496,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88252232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"70","issue":"9","first_page":"6175","last_page":"6182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.953499972820282,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12288","display_name":"Optimization and Search Problems","score":0.928600013256073,"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/convergence","display_name":"Convergence (economics)","score":0.658994197845459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5566168427467346},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34778541326522827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20653048157691956}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.658994197845459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5566168427467346},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34778541326522827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20653048157691956},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/tac.2025.3552743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3552743","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/G1453506678","display_name":null,"funder_award_id":"62373316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G458344280","display_name":null,"funder_award_id":"62003287","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":24,"referenced_works":["https://openalex.org/W1571416372","https://openalex.org/W1955857676","https://openalex.org/W2112796928","https://openalex.org/W2570983198","https://openalex.org/W2737743075","https://openalex.org/W2806414180","https://openalex.org/W2963248893","https://openalex.org/W2964165783","https://openalex.org/W2997632075","https://openalex.org/W3007193855","https://openalex.org/W3011252985","https://openalex.org/W3042491641","https://openalex.org/W3043309535","https://openalex.org/W3047043330","https://openalex.org/W3047780503","https://openalex.org/W3206403927","https://openalex.org/W3210846832","https://openalex.org/W3214232960","https://openalex.org/W3214324039","https://openalex.org/W4312317960","https://openalex.org/W4360993677","https://openalex.org/W4389117393","https://openalex.org/W4402978237","https://openalex.org/W4408609136"],"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],"article":[1],"proposes":[2],"two":[3],"distributed":[4,24,71,206],"random":[5],"reshuffling":[6],"(RR)":[7],"methods,":[8],"namely":[9],"gradient":[10,102],"tracking":[11],"with":[12,18],"RR":[13,19,49,58,72,190,207],"(GT-RR)":[14],"and":[15,65,76,81,126,151,174,201],"exact":[16],"diffusion":[17],"(ED-RR),":[20],"to":[21,37,103,184,193],"solve":[22],"the":[23,39,67,84,95,101,111,120,132,136,140,145,165,170,175,185,198],"optimization":[25],"problem":[26],"over":[27],"a":[28,32],"connected":[29],"network,":[30],"where":[31,105],"set":[33],"of":[34,41,57,69,87,100,113,135,164,188,204],"agents":[35],"aim":[36],"minimize":[38],"average":[40],"their":[42],"local":[43],"cost":[44],"functions.":[45],"Both":[46],"algorithms":[47],"invoke":[48],"update":[50],"for":[51,59,123],"each":[52,124],"agent,":[53,125],"inherit":[54],"favorable":[55],"characteristics":[56],"minimizing":[60],"smooth":[61],"nonconvex":[62],"objective":[63,141],"functions,":[64],"improve":[66],"performance":[68],"previous":[70,205],"methods":[73,191],"both":[74,79,153,180],"theoretically":[75],"empirically.":[77],"Specifically,":[78],"GT-RR":[80,150],"ED-RR":[82,152],"achieve":[83,154],"convergence":[85,160,186],"rate":[86,161],"<inline-formula":[88,106,115,127,155],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[89,107,116,128,156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[90,108,117,129,157],"notation=\"LaTeX\">$\\mathcal":[91,158],"{O}(1/[(1-\\lambda)^{1/3}m^{1/3}T^{2/3}])$</tex-math></inline-formula>":[92],"in":[93,162],"driving":[94],"(minimum)":[96],"expected":[97,167],"squared":[98],"norm":[99],"zero,":[104],"notation=\"LaTeX\">$T$</tex-math></inline-formula>":[109],"denotes":[110],"number":[112],"epochs,":[114],"notation=\"LaTeX\">$m$</tex-math></inline-formula>":[118],"is":[119],"sample":[121],"size":[122],"notation=\"LaTeX\">$(1-\\lambda)$</tex-math></inline-formula>":[130],"represents":[131],"spectral":[133],"gap":[134],"mixing":[137],"matrix.":[138],"When":[139],"functions":[142],"further":[143],"satisfy":[144],"Polyak\u2013\u0141ojasiewicz":[146],"condition,":[147],"we":[148],"show":[149],"{O}(1/[(1-\\lambda)mT^{2}])$</tex-math></inline-formula>":[159],"terms":[163],"averaged":[166],"differences":[168],"between":[169],"agents'":[171],"function":[172],"values":[173],"global":[176],"minimum":[177],"value.":[178],"Notably,":[179],"results":[181],"are":[182],"comparable":[183],"rates":[187],"centralized":[189],"(up":[192],"constant":[194],"factors":[195],"depending":[196],"on":[197],"network":[199],"topology)":[200],"outperform":[202],"those":[203],"algorithms.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
