{"id":"https://openalex.org/W7130566872","doi":"https://doi.org/10.1109/ictc66702.2025.11388002","title":"Scalable and Efficient PureChain-Based Federated Learning for Intelligent Transportation Systems","display_name":"Scalable and Efficient PureChain-Based Federated Learning for Intelligent Transportation Systems","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130566872","doi":"https://doi.org/10.1109/ictc66702.2025.11388002"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11388002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5116859038","display_name":"Miraculous Udurume","orcid":"https://orcid.org/0009-0007-4681-7891"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Miraculous Udurume","raw_affiliation_strings":["Kumoh National Institute of Technology,IT-Convergence Engineering,Gumi,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,IT-Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018695820","display_name":"Love Allen Chijioke Ahakonye","orcid":"https://orcid.org/0000-0003-2840-1693"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Love Allen Chijioke Ahakonye","raw_affiliation_strings":["Kumoh National of Technology,ICT Convergence Research Center,Gumi,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumoh National of Technology,ICT Convergence Research Center,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126387347","display_name":"Jae Min Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Min Lee","raw_affiliation_strings":["Kumoh National Institute of Technology,IT-Convergence Engineering,Gumi,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,IT-Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013003534","display_name":"D. Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Seong Kim","raw_affiliation_strings":["Kumoh National Institute of Technology,IT-Convergence Engineering,Gumi,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,IT-Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113409471"],"apc_list":null,"apc_paid":null,"fwci":3.4704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94367341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1231","last_page":"1235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.4864000082015991,"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"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.4864000082015991,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.15559999644756317,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0917000025510788,"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/federated-learning","display_name":"Federated learning","score":0.7516000270843506},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7059000134468079},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6952000260353088},{"id":"https://openalex.org/keywords/traceability","display_name":"Traceability","score":0.6509000062942505},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.5751000046730042},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4496999979019165},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.430400013923645},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.3959999978542328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7529000043869019},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7516000270843506},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7059000134468079},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6952000260353088},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.6509000062942505},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5751000046730042},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5378000140190125},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.36500000953674316},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.303600013256073},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C53619493","wikidata":"https://www.wikidata.org/wiki/Q4787093","display_name":"Architecture framework","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25290000438690186},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11388002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5672523975372314,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Intelligent":[0],"Transportation":[1],"Systems":[2],"(ITS)":[3],"increasingly":[4],"leverage":[5],"edge":[6],"intelligence":[7],"for":[8,129,140],"real-time,":[9],"privacy-preserving,":[10],"and":[11,30,53,59,64,69,91,97,112,137],"safety-critical":[12],"decision-making.":[13],"However,":[14],"conventional":[15],"Federated":[16],"Learning":[17],"(FL)":[18],"frameworks":[19],"face":[20],"challenges":[21],"such":[22],"as":[23],"unverifiable":[24],"updates,":[25],"central":[26],"points":[27],"of":[28,71,110],"failure,":[29],"limited":[31],"scalability.":[32],"To":[33],"overcome":[34],"these":[35],"issues,":[36],"we":[37],"propose":[38],"PureChain,":[39],"a":[40,46,103],"scalable":[41],"FL":[42],"framework":[43],"integrated":[44],"with":[45],"permissioned":[47],"blockchain":[48,65],"to":[49],"enable":[50],"secure,":[51],"auditable,":[52],"decentralized":[54],"learning":[55],"across":[56],"connected":[57],"vehicles":[58],"road":[60],"infrastructure.":[61],"Smart":[62],"contracts":[63],"validation":[66],"ensure":[67],"traceability":[68],"integrity":[70],"model":[72],"updates.":[73],"We":[74],"simulated":[75],"the":[76,108],"system":[77],"using":[78],"three":[79],"benchmark":[80],"datasets":[81],"(BurST-ADMA,":[82],"Veremi,":[83],"CICIoV2024),":[84],"analyzing":[85],"how":[86],"variations":[87],"in":[88,121,144],"client":[89],"participation":[90],"training":[92,95,116,142],"rounds":[93],"influence":[94],"efficiency":[96],"convergence":[98,118],"behavior.":[99],"The":[100],"results":[101],"showed":[102],"strong":[104],"linear":[105],"relationship":[106],"between":[107],"number":[109],"clients":[111],"sample":[113],"volume.":[114],"Extended":[115],"improves":[117],"stability,":[119],"even":[120],"dynamic":[122],"environments.":[123],"These":[124],"findings":[125],"affirm":[126],"PureChain\u2019s":[127],"suitability":[128],"Software-Defined":[130],"ITS":[131],"(SD-ITS),":[132],"offering":[133],"both":[134],"architectural":[135],"resilience":[136],"practical":[138],"insights":[139],"optimizing":[141],"configurations":[143],"real-world":[145],"vehicular":[146],"networks.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-20T00:00:00"}