{"id":"https://openalex.org/W3163048467","doi":"https://doi.org/10.1109/icassp39728.2021.9413377","title":"Efficient Client Contribution Evaluation for Horizontal Federated Learning","display_name":"Efficient Client Contribution Evaluation for Horizontal Federated Learning","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163048467","doi":"https://doi.org/10.1109/icassp39728.2021.9413377","mag":"3163048467"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102017935","display_name":"Jie Zhao","orcid":"https://orcid.org/0000-0001-6340-5580"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":[],"is_corresponding":true,"raw_author_name":"Jie Zhao","raw_affiliation_strings":["Ping An Technology (Shenzhen) Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Ping An Technology (Shenzhen) Co., Ltd","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052848122","display_name":"Xinghua Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghua Zhu","raw_affiliation_strings":["Hainan University"],"affiliations":[{"raw_affiliation_string":"Hainan University","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074472751","display_name":"Jianzong Wang","orcid":"https://orcid.org/0000-0002-9237-4231"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzong Wang","raw_affiliation_strings":["Hainan University"],"affiliations":[{"raw_affiliation_string":"Hainan University","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016038454","display_name":"Jing Xiao","orcid":"https://orcid.org/0000-0001-9615-4749"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiao","raw_affiliation_strings":["Hainan University"],"affiliations":[{"raw_affiliation_string":"Hainan University","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102017935"],"corresponding_institution_ids":["https://openalex.org/I4401726822"],"apc_list":null,"apc_paid":null,"fwci":4.472,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95324197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3060","last_page":"3064"},"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":0.9778000116348267,"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":0.9753000140190125,"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/upload","display_name":"Upload","score":0.8481165170669556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7930436730384827},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7767722606658936},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7407941818237305},{"id":"https://openalex.org/keywords/valuation","display_name":"Valuation (finance)","score":0.5630708336830139},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4682268798351288},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4662171006202698},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4565108120441437},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.43646275997161865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35997650027275085},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.28662943840026855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2847803235054016},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15726998448371887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0798833966255188}],"concepts":[{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.8481165170669556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930436730384827},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7767722606658936},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7407941818237305},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.5630708336830139},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4682268798351288},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4662171006202698},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4565108120441437},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.43646275997161865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35997650027275085},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28662943840026855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2847803235054016},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15726998448371887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0798833966255188},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/icassp39728.2021.9413377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2036166268","https://openalex.org/W2116612304","https://openalex.org/W2145339207","https://openalex.org/W2155027007","https://openalex.org/W2257979135","https://openalex.org/W2535838896","https://openalex.org/W2597603852","https://openalex.org/W2775461895","https://openalex.org/W2939984132","https://openalex.org/W2949574275","https://openalex.org/W2975583675","https://openalex.org/W3001989995","https://openalex.org/W3006453722","https://openalex.org/W3006921589","https://openalex.org/W3008987005","https://openalex.org/W3017538915","https://openalex.org/W3035748261","https://openalex.org/W3086934053","https://openalex.org/W3097804582","https://openalex.org/W3099060745","https://openalex.org/W3107423520","https://openalex.org/W3109450427","https://openalex.org/W4294106961","https://openalex.org/W4297687186","https://openalex.org/W6683204974","https://openalex.org/W6735632633","https://openalex.org/W6746932923","https://openalex.org/W6762234667","https://openalex.org/W6767887823","https://openalex.org/W6771536673","https://openalex.org/W6776484882","https://openalex.org/W6785578081"],"related_works":["https://openalex.org/W2944823289","https://openalex.org/W3037018281","https://openalex.org/W2972592048","https://openalex.org/W2358319515","https://openalex.org/W4321854979","https://openalex.org/W2003209439","https://openalex.org/W2497626292","https://openalex.org/W4312214821","https://openalex.org/W4361862506","https://openalex.org/W2070735207"],"abstract_inverted_index":{"In":[0,84],"federated":[1,13,34,63,97],"learning":[2,143],"(FL),":[3],"fair":[4],"and":[5,117],"accurate":[6],"measurement":[7,54],"of":[8,11,16,21,62,73,96,138,161],"the":[9,47,71,94,103,119,122,127,130,139,150,155],"contribution":[10,22,53],"each":[12],"participant":[14],"is":[15,90],"great":[17],"significance.":[18],"The":[19],"level":[20],"not":[23],"only":[24],"provides":[25],"a":[26,134],"rational":[27],"metric":[28],"for":[29,52],"distributing":[30],"financial":[31],"benefits":[32],"among":[33],"participants,":[35],"but":[36],"also":[37],"helps":[38],"to":[39,45,92,121],"discover":[40],"malicious":[41],"participants":[42,74],"that":[43],"try":[44],"poison":[46],"FL":[48,105],"framework.":[49],"Previous":[50],"methods":[51],"were":[55],"based":[56],"on":[57,102],"enumeration":[58],"over":[59,113],"possible":[60],"combination":[61],"participants.":[64,98],"Their":[65],"computation":[66],"costs":[67],"increase":[68],"drastically":[69],"with":[70],"number":[72],"or":[75],"feature":[76],"dimensions,":[77],"making":[78],"them":[79],"inapplicable":[80],"in":[81,159],"practical":[82],"situations.":[83],"this":[85],"paper":[86,100],"an":[87],"efficient":[88],"method":[89,152,158],"proposed":[91,151],"evaluate":[93],"contributions":[95],"This":[99],"focuses":[101],"horizontal":[104],"framework,":[106],"where":[107],"client":[108,128],"servers":[109],"calculate":[110],"parameter":[111],"gradients":[112,120,140],"their":[114],"local":[115],"data,":[116],"upload":[118],"central":[123,131],"server.":[124],"Before":[125],"aggregating":[126],"gradients,":[129],"server":[132],"train":[133],"data":[135],"value":[136],"estimator":[137],"using":[141],"reinforcement":[142],"techniques.":[144],"As":[145],"shown":[146],"by":[147],"experimental":[148],"results,":[149],"consistently":[153],"outperforms":[154],"conventional":[156],"leave-one-out":[157],"terms":[160],"valuation":[162],"authenticity":[163],"as":[164,166],"well":[165],"time":[167],"complexity.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
