{"id":"https://openalex.org/W4390224905","doi":"https://doi.org/10.1109/dtpi59677.2023.10365410","title":"Shapley-value-based Contribution Evaluation in Federated Learning: A Survey","display_name":"Shapley-value-based Contribution Evaluation in Federated Learning: A Survey","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4390224905","doi":"https://doi.org/10.1109/dtpi59677.2023.10365410"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi59677.2023.10365410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi59677.2023.10365410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)","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/A5089554004","display_name":"Haolin Zhu","orcid":"https://orcid.org/0000-0003-2829-7742"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haolin Zhu","raw_affiliation_strings":["Renmin University of China,School of Mathematics,Beijing,China","School of Mathematics, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Mathematics,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Mathematics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897464","display_name":"Ziye Li","orcid":"https://orcid.org/0009-0008-1491-3763"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziye Li","raw_affiliation_strings":["Renmin University of China,School of Mathematics,Beijing,China","School of Mathematics, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Mathematics,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Mathematics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114112627","display_name":"Dingzhi Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingzhi Zhong","raw_affiliation_strings":["Renmin University of China,School of Mathematics,Beijing,China","School of Mathematics, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Mathematics,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Mathematics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354301","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0003-4664-5894"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["Renmin University of China,School of Mathematics,Beijing,China","School of Mathematics, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Mathematics,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Mathematics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110476655","display_name":"Yong Yuan","orcid":"https://orcid.org/0000-0001-8310-2712"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yuan","raw_affiliation_strings":["Renmin University of China,School of Mathematics,Beijing,China","School of Mathematics, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Mathematics,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Mathematics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089554004"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.7604,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88166445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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":0.9995999932289124,"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/T11163","display_name":"Organ Donation and Transplantation","score":0.9068999886512756,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.8982757329940796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.769225001335144},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6226834058761597},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5630161762237549},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5521239638328552},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5496141910552979},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.5286287069320679},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49366769194602966},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.4185604453086853},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36342382431030273},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.2707624137401581},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18695765733718872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17866644263267517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09811395406723022}],"concepts":[{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.8982757329940796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769225001335144},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6226834058761597},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5630161762237549},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5521239638328552},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5496141910552979},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.5286287069320679},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49366769194602966},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.4185604453086853},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36342382431030273},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.2707624137401581},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18695765733718872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17866644263267517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09811395406723022},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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/dtpi59677.2023.10365410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi59677.2023.10365410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2487898712","https://openalex.org/W2949574275","https://openalex.org/W3006921589","https://openalex.org/W3008477738","https://openalex.org/W3090831419","https://openalex.org/W3107423520","https://openalex.org/W3108051446","https://openalex.org/W3109000088","https://openalex.org/W3123374528","https://openalex.org/W3198837878","https://openalex.org/W4226202053","https://openalex.org/W4286971399","https://openalex.org/W4364389029","https://openalex.org/W4376127534","https://openalex.org/W6762234667","https://openalex.org/W6810973603"],"related_works":["https://openalex.org/W4249226508","https://openalex.org/W2380202880","https://openalex.org/W4233790924","https://openalex.org/W3126099358","https://openalex.org/W4256656994","https://openalex.org/W2169227624","https://openalex.org/W2008082683","https://openalex.org/W1964562120","https://openalex.org/W3147268231","https://openalex.org/W1750845299"],"abstract_inverted_index":{"As":[0,71],"a":[1,38,58,72,115],"novel":[2],"distributed":[3],"and":[4,50,55,66,86,96,130,154,164],"collaborative":[5],"learning":[6,9],"paradigm,":[7],"federated":[8,69,94,128,152],"is":[10,57,98,142],"widely":[11],"used":[12,87],"in":[13,41,61,88,93],"many":[14],"scenarios":[15],"with":[16],"success":[17],"to":[18,45],"train":[19],"better":[20],"models":[21],"via":[22],"sharing":[23],"multiple":[24],"clients\u2019":[25,35],"private":[26],"data":[27,48],"without":[28],"leaking":[29],"privacy.":[30],"In":[31,110],"this":[32,104,111,141],"respect,":[33],"evaluating":[34,89],"contribution":[36,90,125,149],"plays":[37],"key":[39],"role":[40],"designing":[42],"incentive":[43],"mechanisms":[44],"motivate":[46],"higher-quality":[47],"owners":[49],"also":[51,131],"screen":[52],"malicious":[53],"clients,":[54],"thus":[56],"vital":[59],"component":[60],"maintaining":[62],"the":[63,119,143],"overall":[64],"effectiveness":[65],"efficiency":[67],"for":[68,118,127,151,166],"learning.":[70],"fair":[73],"evaluation":[74,126,150],"method":[75],"originated":[76],"from":[77,91],"game":[78],"theory,":[79],"Shapley":[80],"value":[81],"has":[82],"been":[83],"intensively":[84],"studied":[85],"clients":[92],"learning,":[95,129,153],"there":[97],"still":[99],"no":[100],"survey":[101,117,145],"work":[102,159],"on":[103,123,147],"topic.":[105],"This":[106],"motivates":[107],"our":[108,139,158],"work.":[109],"paper,":[112],"we":[113,155],"presented":[114],"comprehensive":[116],"current":[120],"research":[121,136],"progresses":[122],"Shapley-value-based":[124,148],"proposed":[132],"several":[133],"potential":[134],"future":[135,167],"directions.":[137],"To":[138],"knowledge,":[140],"first":[144],"effort":[146],"expect":[156],"that":[157],"can":[160],"offer":[161],"useful":[162],"guidance":[163],"reference":[165],"researchers.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}