{"id":"https://openalex.org/W4407949726","doi":"https://doi.org/10.1109/cdc56724.2024.10886265","title":"Distributed Optimization and Learning with Automated Stepsizes","display_name":"Distributed Optimization and Learning with Automated Stepsizes","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407949726","doi":"https://doi.org/10.1109/cdc56724.2024.10886265"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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/A5058299116","display_name":"Ziqin Chen","orcid":"https://orcid.org/0000-0001-7836-6238"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziqin Chen","raw_affiliation_strings":["Clemson University,Department of Electrical and Computer Engineering,Clemson,SC,USA,29634"],"affiliations":[{"raw_affiliation_string":"Clemson University,Department of Electrical and Computer Engineering,Clemson,SC,USA,29634","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339974","display_name":"Yongqiang Wang","orcid":"https://orcid.org/0000-0002-0240-9374"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongqiang Wang","raw_affiliation_strings":["Clemson University,Department of Electrical and Computer Engineering,Clemson,SC,USA,29634"],"affiliations":[{"raw_affiliation_string":"Clemson University,Department of Electrical and Computer Engineering,Clemson,SC,USA,29634","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058299116"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25528127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3121","last_page":"3126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.7771000266075134,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.7771000266075134,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201690077781677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35241591930389404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201690077781677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35241591930389404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2008915871","https://openalex.org/W2044212084","https://openalex.org/W2112796928","https://openalex.org/W2160208155","https://openalex.org/W2219888463","https://openalex.org/W2291434103","https://openalex.org/W2537046506","https://openalex.org/W2763533254","https://openalex.org/W2783258119","https://openalex.org/W2790870688","https://openalex.org/W2792751837","https://openalex.org/W2908334250","https://openalex.org/W2950923747","https://openalex.org/W2963116103","https://openalex.org/W2964280898","https://openalex.org/W2974003660","https://openalex.org/W3207759593","https://openalex.org/W4206604927","https://openalex.org/W4285280776","https://openalex.org/W4292363360","https://openalex.org/W4386453792","https://openalex.org/W4390422303","https://openalex.org/W6677872732","https://openalex.org/W6762930437","https://openalex.org/W6768772066","https://openalex.org/W6800650132","https://openalex.org/W6838575114"],"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":{"The":[0],"selection":[1,100],"of":[2,81,88],"stepsizes":[3,45,73],"has":[4],"always":[5],"been":[6,20],"an":[7,64],"elusive":[8],"task":[9],"in":[10,22,29,36,48,101],"distributed":[11,31,37,102],"optimization":[12],"and":[13,118],"learning.":[14],"Although":[15],"some":[16],"stepsize-automation":[17],"approaches":[18,26],"have":[19],"proposed":[21],"centralized":[23],"optimization,":[24],"these":[25],"are":[27],"inapplicable":[28],"the":[30,82,86,93],"setting.":[32],"This":[33],"is":[34,92,106],"because":[35],"optimization/learning,":[38],"letting":[39],"individual":[40,72],"agents":[41,68],"adapt":[42,70],"their":[43,71],"own":[44],"unavoidably":[46],"results":[47],"stepsize":[49,99],"heterogeneity,":[50],"which":[51],"can":[52],"easily":[53],"lead":[54],"to":[55,69,96],"algorithmic":[56],"divergence.":[57],"To":[58,85],"solve":[59],"this":[60,91],"issue,":[61],"we":[62],"propose":[63],"approach":[65],"that":[66],"enables":[67],"without":[74],"any":[75],"manual":[76],"adjustments":[77],"or":[78],"global":[79],"knowledge":[80],"objective":[83],"function.":[84],"best":[87],"our":[89],"knowledge,":[90],"first":[94],"algorithm":[95],"successfully":[97],"automate":[98],"optimization/learning.":[103],"Its":[104],"performance":[105],"validated":[107],"using":[108],"several":[109],"machine":[110],"learning":[111],"applications,":[112],"including":[113],"logistic":[114],"regression,":[115],"matrix":[116],"factorization,":[117],"image":[119],"classification.":[120]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
