{"id":"https://openalex.org/W7117317007","doi":"https://doi.org/10.1109/jiot.2025.3648411","title":"IMPPFL: A Privacy-Preserving Federated Learning Based on Incentive Mechanism in IoT-Enabled Intelligent Transportation Systems","display_name":"IMPPFL: A Privacy-Preserving Federated Learning Based on Incentive Mechanism in IoT-Enabled Intelligent Transportation Systems","publication_year":2025,"publication_date":"2025-12-26","ids":{"openalex":"https://openalex.org/W7117317007","doi":"https://doi.org/10.1109/jiot.2025.3648411"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3648411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3648411","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5121337629","display_name":"Xin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Department of Electrical Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114119759","display_name":"Chaonan Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaonan Wu","raw_affiliation_strings":["Department of Information Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101225064","display_name":"Lijun Yin","orcid":"https://orcid.org/0009-0002-5655-999X"},"institutions":[{"id":"https://openalex.org/I62800249","display_name":"Xingtai University","ror":"https://ror.org/05c1r5z64","country_code":"CN","type":"education","lineage":["https://openalex.org/I62800249"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Yin","raw_affiliation_strings":["Modern Education Technology Center, Hebei Vocational University of Technology and Engineering, Xingtai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Modern Education Technology Center, Hebei Vocational University of Technology and Engineering, Xingtai, China","institution_ids":["https://openalex.org/I62800249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121343442","display_name":"Jingwen Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I102882674","display_name":"Beijing Institute of Fashion Technology","ror":"https://ror.org/03hgxtg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I102882674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Ye","raw_affiliation_strings":["Business School, Jiangxi Institute of Fashion Technology, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Jiangxi Institute of Fashion Technology, Nanchang, China","institution_ids":["https://openalex.org/I102882674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119538256","display_name":"Huayi Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I902764099","display_name":"SEGi University","ror":"https://ror.org/05crr5s63","country_code":"MY","type":"education","lineage":["https://openalex.org/I902764099"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Huayi Ge","raw_affiliation_strings":["Graduate School of Business, SEGi University, Petaling Jaya, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Business, SEGi University, Petaling Jaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I902764099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121326446","display_name":"Junyong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyong Li","raw_affiliation_strings":["School of Public Policy and Administration, Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-1213-3436","affiliations":[{"raw_affiliation_string":"School of Public Policy and Administration, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74273745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"10","first_page":"19914","last_page":"19925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8619999885559082,"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":0.8619999885559082,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.021800000220537186,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.012500000186264515,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7164000272750854},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6761999726295471},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5712000131607056},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5482000112533569},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5414000153541565},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5297999978065491},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.45879998803138733},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.45669999718666077},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4287000000476837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8813999891281128},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7164000272750854},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6761999726295471},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5712000131607056},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5419999957084656},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5414000153541565},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.45879998803138733},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.45669999718666077},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C2780771206","wikidata":"https://www.wikidata.org/wiki/Q3271761","display_name":"Safeguard","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C38369872","wikidata":"https://www.wikidata.org/wiki/Q7445009","display_name":"Security analysis","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.319599986076355},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C121822524","wikidata":"https://www.wikidata.org/wiki/Q5157582","display_name":"Computer security model","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27070000767707825},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3648411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3648411","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2277102347","display_name":null,"funder_award_id":"20BGL163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G423323132","display_name":null,"funder_award_id":"2025ZC222","funder_id":"https://openalex.org/F4320336618","funder_display_name":"Science and Technology Program of Suzhou"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336618","display_name":"Science and Technology Program of Suzhou","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Federated":[0,49],"learning":[1,11,212],"(FL)":[2],"has":[3],"emerged":[4],"as":[5],"a":[6,21,39,204],"promising":[7],"approach":[8],"for":[9,207],"federated":[10,211],"in":[12,213],"IoT-enabled":[13],"intelligent":[14,214],"transportation":[15,215],"systems.":[16,216],"However,":[17],"it":[18,149,203],"is":[19,75],"still":[20],"challenging":[22],"task":[23],"to":[24,65,115,163],"maintain":[25],"data":[26,67],"privacy":[27,95,123,195],"while":[28,178],"enhancing":[29],"model":[30,110,191],"performance.":[31],"To":[32],"address":[33],"this":[34,36],"challenge,":[35],"paper":[37],"proposes":[38],"privacy-preserving":[40],"and":[41,59,94,112,124,143,182,197,209],"incentive-driven":[42],"FL":[43],"framework,":[44],"called":[45],"IMPPFL":[46,131,188],"(Privacy":[47],"Preserving":[48],"Learning":[50],"Based":[51],"on":[52,77,99],"Incentive":[53],"Mechanism),":[54],"which":[55,80],"combines":[56],"incentive":[57],"mechanisms":[58],"non-interactive":[60],"verifiable":[61],"secure":[62,208],"aggregation":[63],"technology":[64],"safeguard":[66],"security":[68,93,125,183],"within":[69],"IoT":[70],"ITS.":[71],"The":[72,157],"proposed":[73,105],"scheme":[74,106,170],"based":[76],"differential":[78],"privacy,":[79],"can":[81,171],"dynamically":[82],"adjust":[83],"noise":[84],"levels":[85],"before":[86],"sharing":[87],"the":[88,104,128,146,154,169,180,185],"model,":[89],"thus":[90],"ensuring":[91],"robust":[92,122,194],"guarantees.":[96,126],"Extensive":[97],"experiments":[98],"benchmark":[100],"datasets":[101],"demonstrate":[102],"that":[103],"not":[107],"only":[108],"enhances":[109,190],"convergence":[111],"accuracy":[113,134,152,181],"compared":[114],"baseline":[116,139],"methods":[117,140],"but":[118],"also":[119],"effectively":[120,172,189],"ensures":[121,193],"On":[127,145],"MNIST":[129],"dataset,":[130,148],"achieved":[132],"96%":[133],"after":[135],"50":[136],"rounds,":[137],"outperforming":[138],"like":[141],"VREFL":[142],"HFL.":[144],"CIFAR-10":[147],"reached":[150],"89%":[151],"under":[153],"same":[155],"conditions.":[156],"framework":[158],"required":[159],"fewer":[160],"training":[161],"epochs":[162],"reach":[164],"target":[165],"accuracy.":[166],"In":[167],"addition,":[168],"deter":[173],"malicious":[174],"client":[175,200],"manipulative":[176],"actions":[177],"improving":[179],"of":[184],"global":[186],"model.":[187],"accuracy,":[192],"guarantees,":[196],"incentivizes":[198],"high-quality":[199],"participation,":[201],"making":[202],"viable":[205],"solution":[206],"efficient":[210]},"counts_by_year":[],"updated_date":"2026-05-09T06:09:20.037420","created_date":"2025-12-26T00:00:00"}