{"id":"https://openalex.org/W4289821054","doi":"https://doi.org/10.1109/tpds.2022.3195207","title":"Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation","display_name":"Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4289821054","doi":"https://doi.org/10.1109/tpds.2022.3195207"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2022.3195207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2022.3195207","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Parallel and Distributed Systems","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/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":["Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, 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/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, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"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":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, 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":["Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, 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":["Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, 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":8.5503,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.98049967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"33","issue":"12","first_page":"4515","last_page":"4529"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9884999990463257,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9840999841690063,"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":0.7352510690689087},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5002388954162598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48167216777801514},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.42014554142951965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3578537106513977},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32664406299591064},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2699058949947357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352510690689087},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5002388954162598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48167216777801514},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.42014554142951965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3578537106513977},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32664406299591064},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2699058949947357},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2022.3195207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2022.3195207","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1624896611","display_name":null,"funder_award_id":"2020JJ2050","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G3408046282","display_name":null,"funder_award_id":"2021JJ20079","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G4261350071","display_name":null,"funder_award_id":"62001180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4461067470","display_name":null,"funder_award_id":"62122095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4936291841","display_name":null,"funder_award_id":"62072472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7454312910","display_name":null,"funder_award_id":"62002389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8028094890","display_name":null,"funder_award_id":"U19A2067","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1480006018","https://openalex.org/W1586118362","https://openalex.org/W1992527911","https://openalex.org/W2029050771","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2530417694","https://openalex.org/W2605194399","https://openalex.org/W2750384547","https://openalex.org/W2807006176","https://openalex.org/W2913977988","https://openalex.org/W2955213239","https://openalex.org/W2963103668","https://openalex.org/W2963163009","https://openalex.org/W2963318081","https://openalex.org/W2963601856","https://openalex.org/W2972882814","https://openalex.org/W2977678469","https://openalex.org/W2980789769","https://openalex.org/W2982409974","https://openalex.org/W2982464076","https://openalex.org/W2989120265","https://openalex.org/W3001989995","https://openalex.org/W3006555759","https://openalex.org/W3006921589","https://openalex.org/W3008477738","https://openalex.org/W3012990321","https://openalex.org/W3014297757","https://openalex.org/W3016632787","https://openalex.org/W3025029677","https://openalex.org/W3047304572","https://openalex.org/W3085873903","https://openalex.org/W3099980742","https://openalex.org/W3101177651","https://openalex.org/W3105099026","https://openalex.org/W3107632872","https://openalex.org/W3111512201","https://openalex.org/W3118608800","https://openalex.org/W3124797061","https://openalex.org/W3127970036","https://openalex.org/W3135590557","https://openalex.org/W3155189475","https://openalex.org/W3159623990","https://openalex.org/W3195539575","https://openalex.org/W3203177227","https://openalex.org/W4212773196","https://openalex.org/W4294558607","https://openalex.org/W4318619660","https://openalex.org/W6703116779","https://openalex.org/W6728757088","https://openalex.org/W6738964360","https://openalex.org/W6743688258","https://openalex.org/W6752029299","https://openalex.org/W6765541894","https://openalex.org/W6773817997","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Federated":[0],"learning":[1,35,134,153,165,171,247],"enables":[2],"distributed":[3],"model":[4,25,39,65,78,84,140,182,213,225,240],"training":[5,45,55],"over":[6],"various":[7,52],"computing":[8,20,43,69,195],"nodes,":[9,196],"e.g.,":[10],"mobile":[11],"devices,":[12],"where":[13],"instead":[14],"of":[15,33,68,155,191,257],"sharing":[16],"raw":[17],"user":[18],"data,":[19],"nodes":[21,44,70,156],"can":[22,71,80],"solely":[23],"commit":[24],"updates":[26,40,79],"without":[27],"compromising":[28],"data":[29,56,59,62],"privacy.":[30],"The":[31],"quality":[32,135,154],"federated":[34,89],"relies":[36],"on":[37,216,243],"the":[38,64,82,139,145,151,163,169,178,189,198,217,231,238,255],"contributed":[41],"by":[42],"with":[46,51,114],"their":[47],"local":[48],"data.":[49],"However,":[50],"factors":[53],"(e.g.,":[54],"size,":[57],"mislabeled":[58],"samples,":[60],"skewed":[61],"distributions),":[63],"update":[66],"qualities":[67],"vary":[72],"dramatically,":[73],"while":[74],"inclusively":[75],"aggregating":[76],"low-quality":[77],"deteriorate":[81],"global":[83,239],"quality.":[85,241],"To":[86],"achieve":[87],"efficient":[88],"learning,":[90],"in":[91,144,157],"this":[92],"paper,":[93],"we":[94,137,181,221],"propose":[95],"a":[96,158,183],"novel":[97],"framework":[98],"named":[99],"<italic":[100,126,258],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[101,106,111,117,122,127,259],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FAIR</i>":[102,128,260],",":[103],"i.e.,":[104],"<underline":[105,110,116,121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">F</u>":[107],"ederated":[108],"le":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">A</u>":[112],"rning":[113],"qual":[115],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">I</u>":[118],"ty":[119],"awa":[120],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">R</u>":[123],"eness.":[124],"Particularly,":[125],"integrates":[129],"three":[130],"major":[131],"components:":[132],"1)":[133],"estimation:":[136],"adopt":[138],"aggregation":[141,226,233],"weight":[142],"(learned":[143],"third":[146],"component)":[147],"to":[148,167,187,202,228,235,253],"reversely":[149],"quantify":[150],"individual":[152],"privacy-preserving":[159],"manner,":[160],"and":[161,193,197,207,210,246],"leverage":[162],"historical":[164],"records":[166],"infer":[168],"next-round":[170],"quality;":[172],"2)":[173],"quality-aware":[174],"incentive":[175],"mechanism:":[176],"within":[177],"recruiting":[179],"budget,":[180],"reverse":[184],"auction":[185],"problem":[186],"stimulate":[188],"participation":[190],"high-quality":[192],"low-cost":[194],"method":[199],"is":[200],"proved":[201],"be":[203],"truthful,":[204],"individually":[205],"rational,":[206],"computationally":[208],"efficient;":[209],"3)":[211],"auto-weighted":[212,224],"aggregation:":[214],"based":[215],"gradient":[218],"descent":[219],"method,":[220],"devise":[222],"an":[223],"algorithm":[227],"automatically":[229],"learn":[230],"optimal":[232],"weights":[234],"further":[236],"enhance":[237],"Based":[242],"real-world":[244],"datasets":[245],"tasks,":[248],"extensive":[249],"experiments":[250],"are":[251],"conducted":[252],"demonstrate":[254],"efficacy":[256],".":[261]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
