{"id":"https://openalex.org/W4415707793","doi":"https://doi.org/10.1109/icme59968.2025.11209282","title":"FairFHTL: Achieving Task-Agnostic Fairness in Federated Hetero-Task Learning","display_name":"FairFHTL: Achieving Task-Agnostic Fairness in Federated Hetero-Task Learning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707793","doi":"https://doi.org/10.1109/icme59968.2025.11209282"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100372518","display_name":"Teng Zhang","orcid":"https://orcid.org/0000-0003-1870-1051"},"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":"Teng Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Chen","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017146781","display_name":"Xinlong Jiang","orcid":"https://orcid.org/0000-0001-6832-3808"},"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":"Xinlong Jiang","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062743125","display_name":"Wuliang Huang","orcid":"https://orcid.org/0000-0002-6378-2498"},"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":"Wuliang Huang","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737741","display_name":"Qian Chen","orcid":"https://orcid.org/0009-0002-2579-4380"},"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":"Qian Chen","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044069461","display_name":"Chenlong Gao","orcid":"https://orcid.org/0000-0001-8827-7271"},"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":"Chenlong Gao","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023538862","display_name":"Zhirui Wang","orcid":"https://orcid.org/0000-0003-2877-0384"},"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":"Zhirui Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103069683","display_name":"Bingjie Yan","orcid":"https://orcid.org/0000-0002-8810-9689"},"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":"Bingjie Yan","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Devices, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.23549999296665192,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.23549999296665192,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.15680000185966492,"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":0.14229999482631683,"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/federated-learning","display_name":"Federated learning","score":0.8169000148773193},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5184000134468079},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.483599990606308},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.4447000026702881},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43470001220703125},{"id":"https://openalex.org/keywords/proactive-learning","display_name":"Proactive learning","score":0.4106999933719635},{"id":"https://openalex.org/keywords/policy-learning","display_name":"Policy learning","score":0.3977999985218048},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.3714999854564667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360999822616577},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8169000148773193},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5184000134468079},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.4447000026702881},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43470001220703125},{"id":"https://openalex.org/C12298181","wikidata":"https://www.wikidata.org/wiki/Q7246814","display_name":"Proactive learning","level":5,"score":0.4106999933719635},{"id":"https://openalex.org/C2779436431","wikidata":"https://www.wikidata.org/wiki/Q30672407","display_name":"Policy learning","level":2,"score":0.3977999985218048},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38269999623298645},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3384999930858612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33719998598098755},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27149999141693115},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2125215748","https://openalex.org/W2962864421","https://openalex.org/W2964185501","https://openalex.org/W3168213397","https://openalex.org/W3193066552","https://openalex.org/W4214607237","https://openalex.org/W4225926344","https://openalex.org/W4364302664","https://openalex.org/W4385801067","https://openalex.org/W4402727840","https://openalex.org/W4405034471"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"Hetero-Task":[1],"Learning":[2],"(FHTL)":[3],"enables":[4],"the":[5,20,55,60,75,80,84,107],"simultaneous":[6],"learning":[7,14,53,115,125],"of":[8,83,109],"multiple":[9],"heterogeneous":[10,30],"tasks":[11,31,110],"on":[12,74,96],"federated":[13,114,124],"clients,":[15],"offering":[16],"enhanced":[17],"flexibility.":[18],"However,":[19],"inconsistency":[21],"between":[22],"optimization":[23,67],"objectives":[24,68],"and":[25,116],"evaluation":[26],"metrics":[27],"for":[28],"these":[29],"poses":[32],"challenges":[33],"in":[34],"achieving":[35,89],"performance":[36,92,105,132],"fairness":[37],"among":[38],"clients.":[39],"This":[40],"study":[41],"proposes":[42],"a":[43,129],"fairness-aware":[44,123],"FHTL":[45,117],"method,":[46],"FairFHTL.":[47],"It":[48],"employs":[49],"adversarial":[50],"multi-task":[51,98],"representation":[52],"at":[54],"client":[56],"level":[57],"to":[58,78,112],"learn":[59],"task-independent":[61,90],"shared":[62,86],"model.":[63],"Consequently,":[64],"it":[65],"solves":[66],"inspired":[69],"by":[70],"fair":[71,91],"resource":[72],"allocation":[73],"server":[76],"side":[77],"determine":[79],"update":[81],"direction":[82],"global":[85],"model,":[87],"ultimately":[88],"balance.":[93],"Extensive":[94],"experiments":[95],"three":[97],"datasets":[99],"demonstrate":[100],"that":[101],"FairFHTL":[102,127],"significantly":[103],"enhances":[104],"across":[106,134],"majority":[108],"compared":[111,120],"conventional":[113],"methods.":[118],"Moreover,":[119],"with":[121],"other":[122],"approaches,":[126],"maintains":[128],"more":[130],"uniform":[131],"distribution":[133],"all":[135],"tasks.":[136]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}