{"id":"https://openalex.org/W4407448835","doi":"https://doi.org/10.1109/tdsc.2025.3541306","title":"Towards Fair Federated Learning via Unbiased Feature Aggregation","display_name":"Towards Fair Federated Learning via Unbiased Feature Aggregation","publication_year":2025,"publication_date":"2025-02-13","ids":{"openalex":"https://openalex.org/W4407448835","doi":"https://doi.org/10.1109/tdsc.2025.3541306"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3541306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3541306","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5102537961","display_name":"Zeqing He","orcid":"https://orcid.org/0000-0003-0093-2951"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeqing He","raw_affiliation_strings":["State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0093-2951","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422345","display_name":"Zhibo Wang","orcid":"https://orcid.org/0000-0002-5804-3279"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibo Wang","raw_affiliation_strings":["State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5804-3279","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860108","display_name":"Xiaowei Dong","orcid":"https://orcid.org/0000-0001-8632-7757"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Dong","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8632-7757","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089450416","display_name":"Peng Sun","orcid":"https://orcid.org/0000-0001-6221-8142"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Sun","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6221-8142","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015419107","display_name":"Ju Ren","orcid":"https://orcid.org/0000-0003-2782-183X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Ren","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2782-183X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105297718","display_name":"Kui Ren","orcid":"https://orcid.org/0000-0002-1969-2591"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Ren","raw_affiliation_strings":["State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1969-2591","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85262826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":"4","first_page":"3795","last_page":"3807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9962999820709229,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9872000217437744,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7882535457611084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5448153614997864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882535457611084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5448153614997864},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2025.3541306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3541306","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1056004441","display_name":null,"funder_award_id":"62122066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1364758715","display_name":null,"funder_award_id":"62102337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3184683627","display_name":null,"funder_award_id":"62432004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7077470854","display_name":null,"funder_award_id":"2023JJ40174","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G7739433689","display_name":null,"funder_award_id":"62472158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8999494135","display_name":null,"funder_award_id":"U24B20182","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/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1834627138","https://openalex.org/W2116984840","https://openalex.org/W2591882872","https://openalex.org/W2624319794","https://openalex.org/W2730550703","https://openalex.org/W2783522756","https://openalex.org/W2912213068","https://openalex.org/W2937229771","https://openalex.org/W2946193510","https://openalex.org/W2962763344","https://openalex.org/W2963334472","https://openalex.org/W2963456518","https://openalex.org/W2963540401","https://openalex.org/W2977797911","https://openalex.org/W2980216952","https://openalex.org/W2982157312","https://openalex.org/W3021654819","https://openalex.org/W3034700241","https://openalex.org/W3047304572","https://openalex.org/W3090393599","https://openalex.org/W3104631511","https://openalex.org/W3107100345","https://openalex.org/W3108091790","https://openalex.org/W3127965231","https://openalex.org/W3195765557","https://openalex.org/W3204423820","https://openalex.org/W4206320562","https://openalex.org/W4226154378","https://openalex.org/W4226183928","https://openalex.org/W4289258088","https://openalex.org/W4312231739","https://openalex.org/W4312699393","https://openalex.org/W4384027004","https://openalex.org/W4387068389","https://openalex.org/W4401508055","https://openalex.org/W4401508561","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6728551298","https://openalex.org/W6728757088","https://openalex.org/W6738870502","https://openalex.org/W6762879059","https://openalex.org/W6768632158","https://openalex.org/W6770634426","https://openalex.org/W6779174293","https://openalex.org/W6780224944","https://openalex.org/W6783533280","https://openalex.org/W6787245701","https://openalex.org/W6787499695","https://openalex.org/W6790212648","https://openalex.org/W6791444617","https://openalex.org/W6796096428","https://openalex.org/W6796484261","https://openalex.org/W6810104323"],"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":{"Federated":[0],"learning":[1,7,29],"(FL)":[2],"is":[3,75,100,168],"a":[4,109,153,165,212,227],"distributed":[5],"machine":[6],"framework":[8,113],"that":[9],"enables":[10],"multiple":[11],"clients":[12],"to":[13,43,69,77,90,127,136,170,184,206,217,232],"collaboratively":[14],"train":[15,176,207],"models":[16,50,53],"without":[17],"raw":[18,196],"data":[19,92,143],"exchange.":[20],"Prior":[21],"studies":[22,41],"on":[23,27,164,222,239],"FL":[24,112,156,224],"mainly":[25],"focus":[26],"optimizing":[28],"performance,":[30],"enhancing":[31],"privacy":[32],"preservation,":[33],"and":[34,130,144,189,226],"improving":[35],"attack":[36],"resilience.":[37],"However,":[38],"little":[39],"work":[40],"how":[42],"mitigate":[44,78],"the":[45,116,138,171,182,208,219,223,243],"unfairness":[46,80],"of":[47,161,245],"federated":[48,132],"trained":[49,133],"while":[51],"unfair":[52],"would":[54],"make":[55],"discriminatory":[56],"decisions":[57],"toward":[58],"certain":[59],"groups":[60],"or":[61],"populations":[62],"(e.g.,":[63,96],"favoring":[64],"males":[65],"over":[66],"females),":[67],"leading":[68],"serious":[70],"ethical":[71],"concerns.":[72],"Thus,":[73],"it":[74],"crucial":[76],"model":[79],"in":[81,102,123,140],"FL,":[82],"yet":[83],"challenging":[84],"as":[85],"this":[86,105],"requires":[87],"centralized":[88],"access":[89],"each":[91],"point's":[93],"fairness-sensitive":[94,186,235],"information":[95],"race,":[97],"gender),":[98],"which":[99,210],"prohibited":[101],"FL.":[103],"In":[104,198],"work,":[106],"we":[107,151,200],"propose":[108,152],"novel":[110],"fair":[111,129,191],"FedUFA,":[114],"where":[115,158],"server":[117,172,183],"can":[118],"aggregate":[119],"clients\u2019":[120,141,159,194],"learned":[121,162],"knowledge":[122,154,160],"an":[124,177,202],"unbiased":[125,178],"manner,":[126],"obtain":[128],"high-usability":[131],"models.":[134],"Specifically,":[135],"unearth":[137],"bias":[139],"local":[142,149],"account":[145],"for":[146,173],"potentially":[147],"heterogeneous":[148],"models,":[150],"distillation-based":[155],"scheme,":[157],"features":[163,188],"public":[166],"dataset":[167],"amalgamated":[169],"aggregation.":[174],"We":[175],"feature":[179],"mapper":[180],"at":[181],"remove":[185],"latent":[187],"extract":[190],"representations":[192],"from":[193],"submitted":[195],"features.":[197,236],"particular,":[199],"design":[201],"adversarial":[203],"training":[204],"method":[205],"mapper,":[209],"involves":[211],"<italic":[213,228],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[214,229],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">predictor</i>":[215],"aiming":[216],"maximize":[218],"prediction":[220],"accuracy":[221],"task":[225],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">discriminator</i>":[230],"intending":[231],"help":[233],"identify":[234],"Extensive":[237],"experiments":[238],"real-world":[240],"datasets":[241],"demonstrate":[242],"effectiveness":[244],"FedUFA.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}