{"id":"https://openalex.org/W4388280438","doi":"https://doi.org/10.1109/icbase59196.2023.10303259","title":"Incentive Mechanism for Federated Learning Participants Based on Statistical Analysis Features","display_name":"Incentive Mechanism for Federated Learning Participants Based on Statistical Analysis Features","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4388280438","doi":"https://doi.org/10.1109/icbase59196.2023.10303259"},"language":"en","primary_location":{"id":"doi:10.1109/icbase59196.2023.10303259","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","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/A5103045562","display_name":"Hao Li","orcid":"https://orcid.org/0009-0009-0564-9937"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Li","raw_affiliation_strings":["Tianjin University of Technology,School of Computer Science and Engineering,Tianjin,China","School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology,School of Computer Science and Engineering,Tianjin,China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101840117","display_name":"Kai Shi","orcid":"https://orcid.org/0000-0002-7174-7924"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Shi","raw_affiliation_strings":["Tianjin University of Technology,School of Computer Science and Engineering,Tianjin,China","School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology,School of Computer Science and Engineering,Tianjin,China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103045562"],"corresponding_institution_ids":["https://openalex.org/I136765683"],"apc_list":null,"apc_paid":null,"fwci":0.3482,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66945464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"158","last_page":"161"},"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":0.9911999702453613,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689623832702637},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6256014108657837},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.61311936378479},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.599294126033783},{"id":"https://openalex.org/keywords/enthusiasm","display_name":"Enthusiasm","score":0.5318222641944885},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5133801698684692},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5042046308517456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4405193328857422},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.43676021695137024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3932616710662842},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36646485328674316},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.35196053981781006},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1045655906200409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689623832702637},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6256014108657837},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.61311936378479},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.599294126033783},{"id":"https://openalex.org/C2781354396","wikidata":"https://www.wikidata.org/wiki/Q840407","display_name":"Enthusiasm","level":2,"score":0.5318222641944885},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5133801698684692},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5042046308517456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4405193328857422},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.43676021695137024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3932616710662842},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36646485328674316},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.35196053981781006},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1045655906200409},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase59196.2023.10303259","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2810065831","https://openalex.org/W2897138744","https://openalex.org/W6752600739"],"related_works":["https://openalex.org/W2151328441","https://openalex.org/W2359053655","https://openalex.org/W2387777532","https://openalex.org/W2382709029","https://openalex.org/W2389147080","https://openalex.org/W2377883125","https://openalex.org/W2352323408","https://openalex.org/W2355932053","https://openalex.org/W2366296021","https://openalex.org/W2382571223"],"abstract_inverted_index":{"Compared":[0],"to":[1,90],"traditional":[2],"machine":[3],"learning":[4,11,40,124],"approaches,":[5],"Google's":[6],"innovative":[7],"framework":[8,47],"for":[9,71,122,194],"federated":[10,57,123,188],"has":[12,48],"emerged":[13],"as":[14],"a":[15,67,100],"prominent":[16],"focus":[17],"within":[18],"the":[19,53,88,92,95,104,107,128,147,153,159,174,182,195],"realm":[20],"of":[21,55,69,94,106,130,149,155,176,184,201],"collaborative":[22],"efforts":[23],"involving":[24],"multi-source":[25],"data":[26],"and":[27,42],"multiple":[28],"users,":[29],"all":[30],"aimed":[31],"at":[32],"enhancing":[33],"model":[34,74,82,109],"performance.":[35],"Distinguished":[36],"by":[37],"its":[38],"high":[39],"efficiency":[41],"robust":[43],"privacy-preserving":[44],"capabilities,":[45],"this":[46,115,139,177,202],"garnered":[49],"significant":[50],"attention.":[51],"In":[52],"context":[54],"cross-device":[56],"learning,":[58,189],"potential":[59,89,164],"challenges":[60],"can":[61],"stem":[62],"from":[63,136],"participants":[64,186],"who":[65,77],"display":[66],"lack":[68],"enthusiasm":[70],"engaging":[72],"in":[73,127,180,187],"training":[75,110],"or":[76],"meticulously":[78],"manipulate":[79],"their":[80],"submitted":[81],"parameters.":[83],"These":[84],"malicious":[85,150,185],"behaviors":[86],"carry":[87],"undermine":[91],"integrity":[93],"global":[96,108,196],"model,":[97],"thereby":[98,145,190],"exerting":[99],"notable":[101],"influence":[102],"on":[103],"trajectory":[105],"process.To":[111],"tackle":[112],"these":[113],"challenges,":[114],"paper":[116],"introduces":[117],"an":[118],"incentive":[119],"mechanism":[120,140,160,179,203],"tailored":[121],"participants,":[125],"grounded":[126],"analysis":[129],"statistical":[131,137],"features.":[132],"By":[133],"harnessing":[134],"insights":[135],"features,":[138],"dynamically":[141],"adjusts":[142],"participants'":[143],"weights,":[144],"curbing":[146],"impact":[148],"users.":[151],"Under":[152],"assumption":[154],"rational":[156],"participant":[157],"behavior,":[158],"not":[161],"only":[162],"mitigates":[163],"harm":[165],"but":[166],"also":[167],"encourages":[168],"proactive":[169],"involvement.":[170],"Empirical":[171],"findings":[172],"underscore":[173],"effectiveness":[175],"adaptive":[178],"constraining":[181],"behavior":[183],"fortifying":[191],"protective":[192],"measures":[193],"model.":[197],"The":[198],"practical":[199],"utility":[200],"is":[204],"demonstrated":[205],"convincingly.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}