{"id":"https://openalex.org/W7117545121","doi":"https://doi.org/10.1145/3772290.3772312","title":"PCIAFL: Personalized and Class Imbalance-Aware Federated Learning for Driver Behavior Classification","display_name":"PCIAFL: Personalized and Class Imbalance-Aware Federated Learning for Driver Behavior Classification","publication_year":2025,"publication_date":"2025-12-30","ids":{"openalex":"https://openalex.org/W7117545121","doi":"https://doi.org/10.1145/3772290.3772312"},"language":null,"primary_location":{"id":"doi:10.1145/3772290.3772312","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772290.3772312","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Distributed Computing and Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772290.3772312","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074763684","display_name":"OSHO OSHO","orcid":null},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Osho Osho","raw_affiliation_strings":["Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India"],"raw_orcid":"https://orcid.org/0000-0002-0168-3021","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121392987","display_name":"Shubh Garg","orcid":null},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubh Garg","raw_affiliation_strings":["Thapar Institute of Engineering and Technology Patiala, Patiala, Punjab, India"],"raw_orcid":"https://orcid.org/0009-0003-6769-8589","affiliations":[{"raw_affiliation_string":"Thapar Institute of Engineering and Technology Patiala, Patiala, Punjab, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043162404","display_name":"Suchetana Chakraborty","orcid":"https://orcid.org/0000-0001-9856-0687"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suchetana Chakraborty","raw_affiliation_strings":["Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India"],"raw_orcid":"https://orcid.org/0000-0001-9856-0687","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sajal K Das","orcid":"https://orcid.org/0000-0002-9471-0868"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sajal K Das","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, USA"],"raw_orcid":"https://orcid.org/0000-0002-9471-0868","affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074763684"],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53501936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"128","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.23489999771118164,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.23489999771118164,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.10379999876022339,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.07680000364780426,"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":0.7781999707221985},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.733299970626831},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5974000096321106},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.44920000433921814},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.3691999912261963},{"id":"https://openalex.org/keywords/data-access","display_name":"Data access","score":0.2955000102519989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206999897956848},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7781999707221985},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.733299970626831},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5974000096321106},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4138999879360199},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34779998660087585},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2892000079154968},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772290.3772312","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772290.3772312","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Distributed Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3772290.3772312","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772290.3772312","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Distributed Computing and Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3176639943","https://openalex.org/W4224227775","https://openalex.org/W4285815152","https://openalex.org/W4313462083","https://openalex.org/W4365452576","https://openalex.org/W4382463479","https://openalex.org/W4386766438","https://openalex.org/W4389545420","https://openalex.org/W4392450883","https://openalex.org/W4392901776","https://openalex.org/W4399168337","https://openalex.org/W4400919677","https://openalex.org/W4406266713","https://openalex.org/W4409426513"],"related_works":[],"abstract_inverted_index":{"Automated":[0],"understanding":[1],"of":[2],"driver":[3],"behavior":[4,85],"from":[5,20],"vehicular":[6],"kinematics":[7],"is":[8],"vital":[9],"for":[10],"safety-aware":[11],"intelligent":[12],"transportation":[13],"systems.":[14],"However,":[15],"centralized":[16],"cloud":[17],"processing":[18],"suffers":[19],"latency,":[21],"scalability,":[22],"and":[23,47,49,78,97],"privacy":[24],"issues.":[25],"Federated":[26],"Learning":[27],"(FL)":[28],"provides":[29],"a":[30,65,71,80],"decentralized":[31],"alternative":[32],"but":[33],"faces":[34],"two":[35],"major":[36],"challenges:":[37],"(i)":[38],"non-IID":[39],"client":[40],"data":[41],"due":[42],"to":[43,83],"heterogeneous":[44],"driving":[45],"styles":[46],"sensors,":[48],"(ii)":[50],"severe":[51],"class":[52],"imbalance,":[53],"as":[54],"risky":[55],"behaviors":[56],"are":[57],"inherently":[58],"rare.":[59],"In":[60],"this":[61],"work,":[62],"we":[63],"propose":[64],"personalized":[66],"FL":[67,101],"framework":[68],"that":[69],"uses":[70],"shared":[72],"CNN\u2013LSTM":[73],"backbone":[74],"with":[75],"client-adaptive":[76],"classifiers":[77],"incorporates":[79],"cost-sensitive":[81],"loss":[82],"address":[84],"skew.":[86],"Evaluated":[87],"on":[88],"the":[89],"UAH-DriveSet":[90],"dataset,":[91],"our":[92],"method":[93],"achieves":[94],"92.60%":[95],"accuracy":[96],"91.68%":[98],"macro-F1,":[99],"outperforming":[100],"baselines.":[102]},"counts_by_year":[],"updated_date":"2025-12-30T23:12:23.022851","created_date":"2025-12-30T00:00:00"}