{"id":"https://openalex.org/W4402157395","doi":"https://doi.org/10.1109/icc51166.2024.10622273","title":"FedFair<sup>3</sup>: Unlocking Threefold Fairness in Federated Learning","display_name":"FedFair<sup>3</sup>: Unlocking Threefold Fairness in Federated Learning","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402157395","doi":"https://doi.org/10.1109/icc51166.2024.10622273"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5093826691","display_name":"Simin Javaherian","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Simin Javaherian","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana,Lafayette"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana,Lafayette","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093826692","display_name":"Sanjeev Panta","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev Panta","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana,Lafayette"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana,Lafayette","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047955697","display_name":"Shelby Williams","orcid":"https://orcid.org/0000-0001-7134-9339"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shelby Williams","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana,Lafayette"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana,Lafayette","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019036487","display_name":"Md Sirajul Islam","orcid":"https://orcid.org/0009-0002-9251-6284"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Sirajul Islam","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana,Lafayette"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana,Lafayette","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379216","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-1754-0607"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana,Lafayette"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana,Lafayette","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5093826691"],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":1.4548,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84814175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3622","last_page":"3627"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9972000122070312,"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/T10237","display_name":"Cryptography and Data Security","score":0.9948999881744385,"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":0.5714029669761658},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.4105517864227295},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10647416114807129},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.10149195790290833},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.08564677834510803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5714029669761658},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.4105517864227295},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10647416114807129},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.10149195790290833},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08564677834510803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7857606100","display_name":null,"funder_award_id":"OIA-2019511,OIA-2327452","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2007339694","https://openalex.org/W2147800946","https://openalex.org/W2621265919","https://openalex.org/W2750384547","https://openalex.org/W2753845591","https://openalex.org/W2900182564","https://openalex.org/W2900885930","https://openalex.org/W2946193510","https://openalex.org/W2962696932","https://openalex.org/W2963318081","https://openalex.org/W2975985894","https://openalex.org/W3014590323","https://openalex.org/W3017538915","https://openalex.org/W3109723249","https://openalex.org/W3118608800","https://openalex.org/W3138531978","https://openalex.org/W3208300320","https://openalex.org/W4286750845","https://openalex.org/W4286971399","https://openalex.org/W4289107582","https://openalex.org/W4297687186","https://openalex.org/W4299283926","https://openalex.org/W4308086969","https://openalex.org/W4318619660","https://openalex.org/W4318751902","https://openalex.org/W4320561073","https://openalex.org/W4386260553","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6729007826","https://openalex.org/W6738602561","https://openalex.org/W6743688258","https://openalex.org/W6744110554","https://openalex.org/W6756312684","https://openalex.org/W6757093123","https://openalex.org/W6758757267","https://openalex.org/W6759238902","https://openalex.org/W6762879059","https://openalex.org/W6768035077","https://openalex.org/W6773976177","https://openalex.org/W6776484882","https://openalex.org/W6787972765","https://openalex.org/W6795916790","https://openalex.org/W6802956129","https://openalex.org/W6840438892","https://openalex.org/W6849675274","https://openalex.org/W7000447705"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"is":[3,30,35],"an":[4,98],"emerging":[5],"paradigm":[6],"in":[7,27,41,85,123],"machine":[8],"learning":[9,29],"without":[10,145],"exposing":[11],"clients'":[12],"raw":[13],"data.":[14],"In":[15,72,88],"practical":[16],"scenarios":[17],"with":[18,63],"numerous":[19],"clients,":[20],"encouraging":[21],"fair":[22,69,78,93,109],"and":[23,44,106,138],"efficient":[24],"client":[25,104],"participation":[26,105],"federated":[28,86],"of":[31,101],"utmost":[32],"importance,":[33],"which":[34],"also":[36],"challenging":[37],"given":[38],"the":[39,113,126,135,142,147],"heterogeneity":[40],"data":[42,137],"distribution":[43,111],"device":[45],"properties.":[46],"Existing":[47],"works":[48],"have":[49],"proposed":[50],"different":[51],"client-selection":[52,79,94],"methods":[53],"that":[54,81,119],"consider":[55],"fairness;":[56],"however,":[57],"they":[58],"fail":[59],"to":[60,90,125],"select":[61],"clients":[62],"high":[64],"utilities":[65],"while":[66],"simultaneously":[67],"achieving":[68],"accuracy":[70,110,132],"levels.":[71],"this":[73],"paper,":[74],"we":[75,96],"propose":[76],"a":[77,92,108],"approach":[80],"unlocks":[82],"threefold":[83],"fairness":[84],"learning.":[87],"addition":[89],"having":[91],"strategy,":[95],"enforce":[97],"equitable":[99],"number":[100],"rounds":[102],"for":[103],"ensure":[107],"over":[112],"clients.":[114],"The":[115],"experimental":[116],"results":[117],"demonstrate":[118],"FedFair<sup":[120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>,":[122],"comparison":[124],"state-of-the-art":[127],"baselines,":[128],"achieves":[129],"18.15%":[130],"less":[131,154],"variance":[133],"on":[134,141,158],"IID":[136],"54.78":[139],"%":[140],"non-IID":[143],"data,":[144],"decreasing":[146],"global":[148],"accuracy.":[149],"Furthermore,":[150],"it":[151],"shows":[152],"24.36%":[153],"wall-clock":[155],"training":[156],"time":[157],"average.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}