{"id":"https://openalex.org/W4293791267","doi":"https://doi.org/10.1145/3511808.3557475","title":"Towards Federated Learning against Noisy Labels via Local Self-Regularization","display_name":"Towards Federated Learning against Noisy Labels via Local Self-Regularization","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4293791267","doi":"https://doi.org/10.1145/3511808.3557475"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557475","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557475","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557475","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557475","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101765429","display_name":"Xuefeng Jiang","orcid":"https://orcid.org/0000-0002-0211-9123"},"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/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":"Xuefeng Jiang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012804259","display_name":"Sheng Sun","orcid":"https://orcid.org/0000-0002-0260-2692"},"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/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":"Sheng Sun","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061525374","display_name":"Yuwei Wang","orcid":"https://orcid.org/0000-0002-3228-7371"},"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/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":"Yuwei Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343939","display_name":"Min Liu","orcid":"https://orcid.org/0000-0003-2824-9601"},"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/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":"Min Liu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"862","last_page":"873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9976999759674072,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8547277450561523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5679279565811157},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5677463412284851},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5335733294487},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49611696600914},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44884878396987915},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43006786704063416},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41988441348075867},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.415755033493042},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41050586104393005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1467423141002655},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12575334310531616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8547277450561523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5679279565811157},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5677463412284851},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5335733294487},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49611696600914},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44884878396987915},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43006786704063416},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41988441348075867},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.415755033493042},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41050586104393005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1467423141002655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12575334310531616},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3511808.3557475","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557475","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557475","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2208.12807","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.12807","pdf_url":"https://arxiv.org/pdf/2208.12807","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3511808.3557475","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557475","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557475","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2400028577","display_name":null,"funder_award_id":"62072436","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G404331169","display_name":"\u9762\u5411\u4e34\u65f6\u70ed\u70b9\u7684\u65e0\u7ebf\u63a5\u5165\u7f51\u8d44\u6e90\u5206\u914d\u7406\u8bba\u4e0e\u6280\u672f\u7814\u7a76","funder_award_id":"61872028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4544859010","display_name":"\u9762\u5411\u65e0\u4eba\u7cfb\u7edf\u7684\u7f51\u7edc\u534f\u540c\u7406\u8bba\u4e0e\u6280\u672f","funder_award_id":"61732017","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293791267.pdf","grobid_xml":"https://content.openalex.org/works/W4293791267.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1921293667","https://openalex.org/W1983320747","https://openalex.org/W2027731328","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2294370754","https://openalex.org/W2296073425","https://openalex.org/W2560674852","https://openalex.org/W2605800822","https://openalex.org/W2747329762","https://openalex.org/W2949736877","https://openalex.org/W2963703197","https://openalex.org/W2964274690","https://openalex.org/W2964292098","https://openalex.org/W2967052791","https://openalex.org/W2981441441","https://openalex.org/W2981873476","https://openalex.org/W2983128379","https://openalex.org/W2987861506","https://openalex.org/W3013310637","https://openalex.org/W3020949888","https://openalex.org/W3021654819","https://openalex.org/W3030364939","https://openalex.org/W3034957837","https://openalex.org/W3035160371","https://openalex.org/W3035524453","https://openalex.org/W3042621011","https://openalex.org/W3108946571","https://openalex.org/W3118945974","https://openalex.org/W3204510963","https://openalex.org/W3215126987","https://openalex.org/W4212881588","https://openalex.org/W4214574722","https://openalex.org/W4286825659","https://openalex.org/W4288083516","https://openalex.org/W4301045096","https://openalex.org/W6600103761","https://openalex.org/W6601630192","https://openalex.org/W6745136726","https://openalex.org/W6745245109"],"related_works":["https://openalex.org/W2043065721","https://openalex.org/W1990953131","https://openalex.org/W2938008981","https://openalex.org/W2318195119","https://openalex.org/W2025633293","https://openalex.org/W2093760752","https://openalex.org/W2888188966","https://openalex.org/W2463534376","https://openalex.org/W3208786872","https://openalex.org/W2990812465"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"aims":[3],"to":[4,51],"learn":[5],"joint":[6],"knowledge":[7],"from":[8,116],"a":[9,19,45,100],"large":[10],"scale":[11],"of":[12,47,70,85],"decentralized":[13],"devices":[14],"with":[15,24,54,82,163],"labeled":[16,33],"data":[17,23,34,95],"in":[18,29,80,149],"privacy-preserving":[20],"manner.":[21],"However,":[22],"noisy":[25,55,91,118,147],"labels":[26,92,119,148],"are":[27,49],"ubiquitous":[28],"reality":[30],"since":[31],"high-quality":[32],"require":[35,60],"expensive":[36],"human":[37],"efforts,":[38],"which":[39,104],"cause":[40],"severe":[41],"performance":[42,87,169],"degradation.":[43],"Although":[44],"lot":[46],"methods":[48,58],"proposed":[50,140],"directly":[52],"deal":[53],"labels,":[56],"these":[57],"either":[59],"excessive":[61],"computation":[62],"overhead":[63],"or":[64],"violate":[65],"the":[66,83,107,114,123,171],"privacy":[67],"protection":[68],"principle":[69],"FL.":[71],"To":[72],"this":[73,78],"end,":[74],"we":[75,98,159],"focus":[76],"on":[77,153,170],"issue":[79],"FL":[81],"purpose":[84],"alleviating":[86],"degradation":[88],"yielded":[89],"by":[90],"meanwhile":[93],"guaranteeing":[94],"privacy.":[96],"Specifically,":[97],"propose":[99],"Local":[101],"Self-Regularization":[102],"method,":[103],"effectively":[105],"regularizes":[106],"local":[108],"training":[109],"process":[110],"via":[111],"implicitly":[112],"hindering":[113],"model":[115,124],"memorizing":[117],"and":[120,129,166],"explicitly":[121],"narrowing":[122],"output":[125],"discrepancy":[126],"between":[127],"original":[128],"augmented":[130],"instances":[131],"using":[132],"self":[133],"distillation.":[134],"Experimental":[135],"results":[136],"demonstrate":[137],"that":[138],"our":[139,161],"method":[141,162],"can":[142],"achieve":[143,167],"notable":[144],"resistance":[145],"against":[146],"various":[150],"noise":[151],"levels":[152],"three":[154],"benchmark":[155],"datasets.":[156],"In":[157],"addition,":[158],"integrate":[160],"existing":[164],"state-of-the-arts":[165],"superior":[168],"real-world":[172],"dataset":[173],"Clothing1M.The":[174],"code":[175],"is":[176],"available":[177],"at":[178],"https://github.com/Sprinter1999.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
