{"id":"https://openalex.org/W4387870409","doi":"https://doi.org/10.1109/mlsp55844.2023.10285903","title":"Distributed Dual Coordinate Ascent With Imbalanced Data on a General Tree Network","display_name":"Distributed Dual Coordinate Ascent With Imbalanced Data on a General Tree Network","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387870409","doi":"https://doi.org/10.1109/mlsp55844.2023.10285903"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285903","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5103181623","display_name":"Myung Cho","orcid":"https://orcid.org/0000-0002-2383-3481"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]},{"id":"https://openalex.org/I157638225","display_name":"California State University, Northridge","ror":"https://ror.org/005f5hv41","country_code":"US","type":"education","lineage":["https://openalex.org/I157638225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Myung Cho","raw_affiliation_strings":["California State University,Department of Electrical and Computer Engineering,Northridge,CA,USA","Department of Electrical and Computer Engineering, California State University, Northridge, CA, USA","Department of Electrical and Computer Engineering, Penn State Behrend, Erie, PA, USA"],"affiliations":[{"raw_affiliation_string":"California State University,Department of Electrical and Computer Engineering,Northridge,CA,USA","institution_ids":["https://openalex.org/I157638225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, California State University, Northridge, CA, USA","institution_ids":["https://openalex.org/I157638225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Penn State Behrend, Erie, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081715462","display_name":"Lifeng Lai","orcid":"https://orcid.org/0000-0002-9493-8248"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifeng Lai","raw_affiliation_strings":["University of California,Department of Electrical and Computer Engineering,Davis,CA,USA","Department of Electrical and Computer Engineering, University of California, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California,Department of Electrical and Computer Engineering,Davis,CA,USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101767475","display_name":"Weiyu Xu","orcid":"https://orcid.org/0000-0003-4256-6072"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiyu Xu","raw_affiliation_strings":["University of Iowa,Department of Electrical and Computer Engineering,Iowa City,IA,USA","Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA"],"affiliations":[{"raw_affiliation_string":"University of Iowa,Department of Electrical and Computer Engineering,Iowa City,IA,USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103181623"],"corresponding_institution_ids":["https://openalex.org/I130769515","https://openalex.org/I157638225"],"apc_list":null,"apc_paid":null,"fwci":0.2409,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53532435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9965999722480774,"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/dual","display_name":"Dual (grammatical number)","score":0.7744321823120117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7615560293197632},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7430583834648132},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5976564884185791},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5950183272361755},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.5501683950424194},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.430841326713562},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.42593446373939514},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3639795184135437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34751182794570923},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33238574862480164},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3189844489097595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3088172674179077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17649143934249878},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1309201717376709}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7744321823120117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615560293197632},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7430583834648132},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5976564884185791},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5950183272361755},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.5501683950424194},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.430841326713562},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.42593446373939514},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3639795184135437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34751182794570923},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33238574862480164},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3189844489097595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3088172674179077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17649143934249878},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1309201717376709},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285903","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1842246424","https://openalex.org/W2068728923","https://openalex.org/W2100007248","https://openalex.org/W2116612304","https://openalex.org/W2123154536","https://openalex.org/W2143021454","https://openalex.org/W2165966284","https://openalex.org/W2205410708","https://openalex.org/W2513289469","https://openalex.org/W2565516521","https://openalex.org/W2584717900","https://openalex.org/W2618059222","https://openalex.org/W2751713192","https://openalex.org/W2782985982","https://openalex.org/W2891149498","https://openalex.org/W2894591993","https://openalex.org/W2908138056","https://openalex.org/W2939179122","https://openalex.org/W2952594493","https://openalex.org/W2962863496","https://openalex.org/W2963339410","https://openalex.org/W3127573570","https://openalex.org/W3134165197","https://openalex.org/W3161493543","https://openalex.org/W4250589301","https://openalex.org/W6638609595","https://openalex.org/W6675069819","https://openalex.org/W6678379972","https://openalex.org/W6681283895","https://openalex.org/W6688035434","https://openalex.org/W6738480291","https://openalex.org/W6745458143","https://openalex.org/W6754987960","https://openalex.org/W6791460135"],"related_works":["https://openalex.org/W2363108177","https://openalex.org/W2366322774","https://openalex.org/W3213349779","https://openalex.org/W4286248447","https://openalex.org/W2605503048","https://openalex.org/W3042787614","https://openalex.org/W2350747896","https://openalex.org/W2374707933","https://openalex.org/W179025373","https://openalex.org/W2140057251"],"abstract_inverted_index":{"In":[0],"this":[1,35],"paper,":[2],"we":[3,37],"investigate":[4],"the":[5,11,52,55,60,63,69,77],"impact":[6],"of":[7,13,54,62,71,80],"imbalanced":[8,56],"data":[9],"on":[10],"convergence":[12,78],"distributed":[14,30,44,81],"dual":[15,45,82],"coordinate":[16,46,83],"ascent":[17,47,84],"in":[18,29,75,85],"a":[19,39,86],"tree":[20,87],"network":[21],"for":[22],"solving":[23],"an":[24],"empirical":[25],"loss":[26],"minimization":[27],"problem":[28],"machine":[31],"learning.":[32],"To":[33],"address":[34],"issue,":[36],"propose":[38],"method":[40,74],"called":[41],"delayed":[42],"generalized":[43],"that":[48],"takes":[49],"into":[50],"account":[51],"information":[53],"data,":[57],"and":[58],"provide":[59],"analysis":[61],"proposed":[64,73],"algorithm.":[65],"Numerical":[66],"experiments":[67],"confirm":[68],"effectiveness":[70],"our":[72],"improving":[76],"speed":[79],"network.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}