{"id":"https://openalex.org/W3155189475","doi":"https://doi.org/10.1109/infocom42981.2021.9488743","title":"FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation","display_name":"FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3155189475","doi":"https://doi.org/10.1109/infocom42981.2021.9488743","mag":"3155189475"},"language":"en","primary_location":{"id":"doi:10.1109/infocom42981.2021.9488743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - 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/A5037386169","display_name":"Yongheng Deng","orcid":"https://orcid.org/0000-0003-3010-3812"},"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":true,"raw_author_name":"Yongheng Deng","raw_affiliation_strings":["BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035157184","display_name":"Feng Lyu","orcid":"https://orcid.org/0000-0002-2990-5415"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Lyu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"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/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Ren","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009913466","display_name":"Yi\u2010Chao Chen","orcid":"https://orcid.org/0000-0003-0782-4953"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Chao Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039532881","display_name":"Peng Yang","orcid":"https://orcid.org/0000-0001-8964-0597"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052528809","display_name":"Yuezhi Zhou","orcid":"https://orcid.org/0000-0002-1850-3007"},"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":"Yuezhi Zhou","raw_affiliation_strings":["BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069049205","display_name":"Yaoxue Zhang","orcid":"https://orcid.org/0000-0001-6717-461X"},"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":"Yaoxue Zhang","raw_affiliation_strings":["BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037386169"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":19.5724,"has_fulltext":false,"cited_by_count":193,"citation_normalized_percentile":{"value":0.994884,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8560375571250916},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6378438472747803},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5550746917724609},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5211225152015686},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5024747848510742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5021054744720459},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42879578471183777},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17718404531478882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8560375571250916},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6378438472747803},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5550746917724609},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5211225152015686},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5024747848510742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5021054744720459},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42879578471183777},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17718404531478882},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom42981.2021.9488743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1480006018","https://openalex.org/W1586118362","https://openalex.org/W1992527911","https://openalex.org/W2004877282","https://openalex.org/W2029050771","https://openalex.org/W2116547166","https://openalex.org/W2530417694","https://openalex.org/W2541884796","https://openalex.org/W2594560857","https://openalex.org/W2599558834","https://openalex.org/W2605194399","https://openalex.org/W2752689052","https://openalex.org/W2769745150","https://openalex.org/W2788816110","https://openalex.org/W2793925626","https://openalex.org/W2808820828","https://openalex.org/W2896098600","https://openalex.org/W2913977988","https://openalex.org/W2920095265","https://openalex.org/W2950865323","https://openalex.org/W2962788286","https://openalex.org/W2963103668","https://openalex.org/W2963165390","https://openalex.org/W2964162474","https://openalex.org/W2972594657","https://openalex.org/W2972882814","https://openalex.org/W2980789769","https://openalex.org/W2982464076","https://openalex.org/W2982650630","https://openalex.org/W2989120265","https://openalex.org/W3001989995","https://openalex.org/W3007279825","https://openalex.org/W3014297757","https://openalex.org/W3033813775","https://openalex.org/W3105099026","https://openalex.org/W3106445841","https://openalex.org/W3124797061","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6743821447"],"related_works":["https://openalex.org/W2367468089","https://openalex.org/W2358591856","https://openalex.org/W2098133976","https://openalex.org/W2347416728","https://openalex.org/W2468219149","https://openalex.org/W2974100988","https://openalex.org/W2215702767","https://openalex.org/W4388137405","https://openalex.org/W1986097177","https://openalex.org/W2567150521"],"abstract_inverted_index":{"Federated":[0,74],"learning":[1,4,15,27,85,91,97,135,177,185],"enables":[2],"distributed":[3],"in":[5,26],"a":[6,68,125],"privacy-protected":[7],"manner,":[8],"but":[9],"two":[10],"challenging":[11],"reasons":[12],"can":[13,49,57],"affect":[14],"performance":[16],"significantly.":[17],"First,":[18],"mobile":[19,47],"users":[20],"are":[21,189],"not":[22],"willing":[23],"to":[24,29,93,129,142,172,192],"participate":[25],"due":[28],"computation":[30],"and":[31,105,137,147,150,166,183],"energy":[32],"consumption.":[33],"Second,":[34],"with":[35,76],"various":[36],"factors":[37],"(e.g.,":[38],"training":[39],"data":[40],"size/quality),":[41],"the":[42,59,95,100,106,120,131,138,161,175,194],"model":[43,55,61,124,152,162,170],"update":[44],"quality":[45,86,163],"of":[46,133,196],"devices":[48],"vary":[50],"dramatically,":[51],"inclusively":[52],"aggregating":[53],"low-quality":[54],"updates":[56],"deteriorate":[58],"global":[60,176],"quality.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,88,123,154],"propose":[67],"novel":[69],"system":[70],"named":[71],"FAIR,":[72],"i.e.,":[73],"leArning":[75],"qualIty":[77],"awaReness.":[78],"FAIR":[79],"integrates":[80,160],"three":[81],"major":[82],"components:":[83],"1)":[84],"estimation:":[87],"leverage":[89],"historical":[90],"records":[92],"estimate":[94],"user":[96],"quality,":[98],"where":[99],"record":[101],"freshness":[102],"is":[103,110,140],"considered":[104],"exponential":[107],"forgetting":[108],"function":[109],"utilized":[111],"for":[112],"weight":[113],"assignment;":[114],"2)":[115],"quality-aware":[116],"incentive":[117],"mechanism:":[118],"within":[119],"recruiting":[121],"budget,":[122],"reverse":[126],"auction":[127],"problem":[128],"encourage":[130],"participation":[132],"high-quality":[134],"users,":[136],"method":[139],"proved":[141],"be":[143],"truthful,":[144],"individually":[145],"rational,":[146],"computationally":[148],"efficient;":[149],"3)":[151],"aggregation:":[153],"devise":[155],"an":[156],"aggregation":[157,165],"algorithm":[158],"that":[159],"into":[164],"filters":[167],"out":[168,191],"non-ideal":[169],"updates,":[171],"further":[173],"optimize":[174],"model.":[178],"Based":[179],"on":[180],"real-world":[181],"datasets":[182],"practical":[184],"tasks,":[186],"extensive":[187],"experiments":[188],"carried":[190],"demonstrate":[193],"efficacy":[195],"FAIR.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":69},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}