{"id":"https://openalex.org/W4401507982","doi":"https://doi.org/10.1109/infocom52122.2024.10621438","title":"FairFed: Improving Fairness and Efficiency of Contribution Evaluation in Federated Learning via Cooperative Shapley Value","display_name":"FairFed: Improving Fairness and Efficiency of Contribution Evaluation in Federated Learning via Cooperative Shapley Value","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401507982","doi":"https://doi.org/10.1109/infocom52122.2024.10621438"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer 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/A5100744926","display_name":"Yiqi Liu","orcid":"https://orcid.org/0000-0003-0605-7801"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiqi Liu","raw_affiliation_strings":["Donghua University,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013173652","display_name":"Shan Chang","orcid":"https://orcid.org/0000-0002-5253-2549"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Chang","raw_affiliation_strings":["Donghua University,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102972220","display_name":"Ye Liu","orcid":"https://orcid.org/0009-0004-4603-5337"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Liu","raw_affiliation_strings":["Donghua University,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374506","display_name":"Bo Li","orcid":"https://orcid.org/0000-0003-2083-9105"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Hong Kong University of Science and Technology,Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390514","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0003-0547-315X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["City University of Hong Kong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100744926"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":2.732,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91401012,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"621","last_page":"630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9868999719619751,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9804999828338623,"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/shapley-value","display_name":"Shapley value","score":0.9264573454856873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.668122410774231},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.597398042678833},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.34406691789627075},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.28058671951293945},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.23575299978256226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19673800468444824},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08407434821128845}],"concepts":[{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.9264573454856873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668122410774231},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.597398042678833},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.34406691789627075},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.28058671951293945},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.23575299978256226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19673800468444824},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08407434821128845}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom52122.2024.10621438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-139129","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-139129","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2073231946","https://openalex.org/W2487898712","https://openalex.org/W2539402368","https://openalex.org/W2989120265","https://openalex.org/W2995022099","https://openalex.org/W3008477738","https://openalex.org/W3027472889","https://openalex.org/W3080934299","https://openalex.org/W3105099026","https://openalex.org/W3108051446","https://openalex.org/W3118608800","https://openalex.org/W3198837878","https://openalex.org/W3208283650","https://openalex.org/W4200015325","https://openalex.org/W4205643894","https://openalex.org/W4213310170","https://openalex.org/W4244364296","https://openalex.org/W4286971399","https://openalex.org/W4289533960","https://openalex.org/W4376127534","https://openalex.org/W4389459348","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4249226508","https://openalex.org/W2380202880","https://openalex.org/W4233790924","https://openalex.org/W4256656994","https://openalex.org/W3126099358","https://openalex.org/W2169227624","https://openalex.org/W1964562120","https://openalex.org/W3147268231"],"abstract_inverted_index":{"The":[0],"quality":[1,13],"of":[2,14,98,137,158,175,194],"federated":[3],"learning":[4],"(FL)":[5],"is":[6,19,97],"highly":[7],"correlated":[8],"with":[9,118],"the":[10,15,74,89,141,156,172],"number":[11,157],"and":[12,50,52,109,121,188],"participants":[16,47,65,111,120,138,152],"involved.":[17],"It":[18],"essential":[20],"to":[21,35,60,87,133,139,167,184,196],"design":[22],"proper":[23],"contribution":[24,38,72],"evaluation":[25],"mechanisms.":[26],"Shapley":[27,130],"Value":[28,131],"(SV)-based":[29],"techniques":[30],"have":[31],"been":[32],"widely":[33],"used":[34],"provide":[36],"fair":[37],"evaluation.":[39],"Existing":[40],"approaches,":[41],"however,":[42],"do":[43],"not":[44],"support":[45],"dynamic":[46,119],"(e.g.,":[48],"joining":[49],"departure)":[51],"incur":[53],"significant":[54],"computation":[55],"costs,":[56],"making":[57],"them":[58],"difficult":[59],"apply":[61],"in":[62],"practice.":[63],"Worse,":[64],"may":[66],"be":[67,162],"incorrectly":[68],"valued":[69],"as":[70,104],"negative":[71,135,146],"under":[73],"Non-IID":[75],"data":[76],"scenarios,":[77],"further":[78],"jeopardizing":[79],"fairness.":[80],"In":[81],"this":[82],"work,":[83],"we":[84,127,149],"propose":[85],"FairFed":[86,101,181],"address":[88],"above":[90],"challenges.":[91],"First,":[92],"given":[93],"that":[94,180],"each":[95,113],"iteration":[96,114],"equal":[99],"importance,":[100],"treats":[102],"FL":[103],"Multiple":[105],"Single-stage":[106],"Cooperative":[107,129],"Games,":[108],"evaluates":[110],"by":[112,191],"for":[115],"effectively":[116],"coping":[117],"ensuring":[122],"fairness":[123,142],"across":[124],"iterations.":[125],"Second,":[126],"introduce":[128],"(CSV)":[132],"rectify":[134],"values":[136],"improving":[140],"while":[143],"preserving":[144],"true":[145],"values.":[147],"Third,":[148],"prove":[150],"if":[151],"are":[153],"Strategically":[154],"Equivalent,":[155],"participant":[159],"combinations":[160],"can":[161],"sharply":[163],"reduced":[164],"from":[165],"exponential":[166],"polynomial,":[168],"thus":[169],"significantly":[170],"reducing":[171],"computational":[173],"complexity":[174],"CSV.":[176],"Experimental":[177],"results":[178],"show":[179],"achieves":[182],"up":[183],"25.3":[185],"\u00d7":[186],"speedup":[187],"reduces":[189],"deviations":[190],"three":[192],"orders":[193],"magnitude":[195],"two":[197],"state-of-the-art":[198],"approximation":[199],"approaches.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}