{"id":"https://openalex.org/W4220721049","doi":"https://doi.org/10.1145/3519311","title":"CLC: A Consensus-based Label Correction Approach in Federated Learning","display_name":"CLC: A Consensus-based Label Correction Approach in Federated Learning","publication_year":2022,"publication_date":"2022-03-22","ids":{"openalex":"https://openalex.org/W4220721049","doi":"https://doi.org/10.1145/3519311"},"language":"en","primary_location":{"id":"doi:10.1145/3519311","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3519311","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3519311","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3519311","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085331206","display_name":"Bixiao Zeng","orcid":"https://orcid.org/0000-0002-1888-4209"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bixiao Zeng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1888-4209","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012133093","display_name":"Xiaodong Yang","orcid":"https://orcid.org/0000-0002-1842-5475"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Yang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China and Shandong Academy of Intelligent Computing Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China and Shandong Academy of Intelligent Computing Technology, Jinan, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008558592","display_name":"Yiqiang Chen","orcid":"https://orcid.org/0000-0002-8407-0780"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Chen","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and the Beijing Key Laboratory of Mobile Computing and Pervasive Device, China and Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and the Beijing Key Laboratory of Mobile Computing and Pervasive Device, China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028988765","display_name":"Hanchao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanchao Yu","raw_affiliation_strings":["Bureau of Frontier Sciences and Education, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bureau of Frontier Sciences and Education, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101808278","display_name":"Yingwei Zhang","orcid":"https://orcid.org/0000-0002-6582-1745"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwei Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.607,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93592323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"13","issue":"5","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9990000128746033,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9933000206947327,"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":0.9108665585517883},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.846551775932312},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7343829870223999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5975826382637024},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5805213451385498},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5598447322845459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5588456988334656},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.558525025844574},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5156744718551636},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5036832690238953},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.49820590019226074},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49528637528419495},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.380993515253067},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10626107454299927},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09489351511001587}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9108665585517883},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.846551775932312},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7343829870223999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5975826382637024},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5805213451385498},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5598447322845459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5588456988334656},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.558525025844574},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5156744718551636},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5036832690238953},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.49820590019226074},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49528637528419495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.380993515253067},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10626107454299927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09489351511001587},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3519311","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3519311","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3519311","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3519311","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3519311","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3519311","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1977690423","display_name":null,"funder_award_id":"Z211100002121171","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"},{"id":"https://openalex.org/G413714416","display_name":null,"funder_award_id":"KFJ-STS-QYZD-2021-11-001","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8324588110","display_name":null,"funder_award_id":"2021-11","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8567002948","display_name":"\u9762\u5411\u5e15\u91d1\u68ee\u65e9\u671f\u9884\u8b66\u7684\u8054\u90a6\u8fc1\u79fb\u5b66\u4e60\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972383","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220721049.pdf","grobid_xml":"https://content.openalex.org/works/W4220721049.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1866072925","https://openalex.org/W2098865355","https://openalex.org/W2107189314","https://openalex.org/W2112796928","https://openalex.org/W2145343602","https://openalex.org/W2564143201","https://openalex.org/W2590150025","https://openalex.org/W2767979715","https://openalex.org/W2887842788","https://openalex.org/W2895261933","https://openalex.org/W2903996579","https://openalex.org/W2918777711","https://openalex.org/W2949725973","https://openalex.org/W2951013084","https://openalex.org/W2964292098","https://openalex.org/W2978625989","https://openalex.org/W2981873476","https://openalex.org/W2988175183","https://openalex.org/W2988966271","https://openalex.org/W2991391304","https://openalex.org/W2992272656","https://openalex.org/W3001250740","https://openalex.org/W3003380256","https://openalex.org/W4236965008","https://openalex.org/W4286825659","https://openalex.org/W4287995911","https://openalex.org/W4288087455","https://openalex.org/W6771536673"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W4386541577"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7],"(FL)":[2],"is":[3,38,143,182],"a":[4,14,72,115],"novel":[5],"distributed":[6],"framework":[8],"where":[9],"multiple":[10],"participants":[11],"collaboratively":[12],"train":[13],"global":[15,51],"model":[16,75],"without":[17],"sharing":[18],"any":[19],"raw":[20,58],"data":[21,26,59],"to":[22,70,76,100,125,145,178],"preserve":[23],"privacy.":[24],"However,":[25,95],"quality":[27],"may":[28],"vary":[29],"among":[30,135],"the":[31,33,47,50,55,78,81,85,88,92,102,127,131,136,147,170,173,179],"participants,":[32],"most":[34],"typical":[35],"of":[36,49,57,105],"which":[37,123],"label":[39,43],"noise.":[40],"The":[41,139,166,176],"incorrect":[42],"would":[44],"significantly":[45],"damage":[46],"performance":[48],"model.":[52],"In":[53],"FL,":[54,122],"inaccessibility":[56],"makes":[60],"this":[61],"issue":[62],"more":[63],"challenging.":[64],"Previously":[65],"published":[66],"studies":[67],"are":[68,109,157],"limited":[69],"using":[71,130],"task-specific":[73],"benchmark-trained":[74],"evaluate":[77],"relevance":[79],"between":[80],"benchmark":[82],"dataset":[83],"in":[84,121,163],"server":[86],"and":[87,108,150],"local":[89],"one":[90],"on":[91,159],"participants\u2019":[93],"side.":[94],"such":[96],"approaches":[97],"have":[98],"failed":[99],"exploit":[101],"cooperative":[103],"nature":[104],"FL":[106,137],"itself":[107],"not":[110],"practical.":[111],"This":[112],"paper":[113],"proposes":[114],"Consensus-based":[116],"Label":[117],"Correction":[118],"approach":[119],"(CLC)":[120],"tries":[124],"correct":[126,151],"noisy":[128,148],"labels":[129,149],"developed":[132],"consensus":[133],"method":[134],"participants.":[138],"consensus-defined":[140],"class-wise":[141],"information":[142],"used":[144],"identify":[146],"them":[152],"with":[153],"pseudo-labels.":[154],"Extensive":[155],"experiments":[156],"conducted":[158],"several":[160],"public":[161],"datasets":[162],"various":[164],"settings.":[165],"experimental":[167],"results":[168],"prove":[169],"advantage":[171],"over":[172],"state-of-art":[174],"methods.":[175],"link":[177],"source":[180],"code":[181],"https://github.com/bixiao-zeng/CLC.git":[183],".":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
