{"id":"https://openalex.org/W4411640485","doi":"https://doi.org/10.1109/tifs.2025.3583231","title":"FedEditor: Efficient and Effective Federated Unlearning in Cooperative Intelligent Transportation Systems","display_name":"FedEditor: Efficient and Effective Federated Unlearning in Cooperative Intelligent Transportation Systems","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411640485","doi":"https://doi.org/10.1109/tifs.2025.3583231"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3583231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3583231","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","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/A5015360323","display_name":"Xiaohan Yuan","orcid":"https://orcid.org/0000-0002-8489-4018"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Yuan","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8489-4018","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070828650","display_name":"Jiqiang Liu","orcid":"https://orcid.org/0000-0003-1147-4327"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqiang Liu","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1147-4327","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-0008-596X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0008-596X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004879125","display_name":"Guorong Chen","orcid":"https://orcid.org/0000-0003-1905-8723"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorong Chen","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1905-8723","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002113782","display_name":"Xiangrui Xu","orcid":"https://orcid.org/0000-0003-3759-4706"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrui Xu","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3759-4706","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903744","display_name":"Junyong Wang","orcid":"https://orcid.org/0000-0003-3797-6819"},"institutions":[{"id":"https://openalex.org/I4210164952","display_name":"Tianjin haihe hospital","ror":"https://ror.org/05m762q77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210164952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyong Wang","raw_affiliation_strings":["Haihe Lab of ITAI, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3797-6819","affiliations":[{"raw_affiliation_string":"Haihe Lab of ITAI, Tianjin, China","institution_ids":["https://openalex.org/I4210164952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455376","display_name":"Tao Li","orcid":"https://orcid.org/0000-0003-1697-8022"},"institutions":[{"id":"https://openalex.org/I4210164952","display_name":"Tianjin haihe hospital","ror":"https://ror.org/05m762q77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210164952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Haihe Lab of ITAI, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1697-8022","affiliations":[{"raw_affiliation_string":"Haihe Lab of ITAI, Tianjin, China","institution_ids":["https://openalex.org/I4210164952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100777576","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5974-1589"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5974-1589","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0267,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87530245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"20","issue":null,"first_page":"6560","last_page":"6575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.8952000141143799,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.8952000141143799,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.7645999789237976,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7631999850273132,"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/computer-science","display_name":"Computer science","score":0.8255704641342163},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6944018602371216},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4805508255958557},{"id":"https://openalex.org/keywords/intelligent-agent","display_name":"Intelligent agent","score":0.42994070053100586},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3682743310928345},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.19691607356071472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19282862544059753},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10388746857643127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255704641342163},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6944018602371216},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4805508255958557},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.42994070053100586},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3682743310928345},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.19691607356071472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19282862544059753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10388746857643127}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3583231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3583231","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1858642095","display_name":null,"funder_award_id":"U23A20304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3550020321","display_name":null,"funder_award_id":"U21A20463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7465859601","display_name":null,"funder_award_id":"U22B2027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2001610032","https://openalex.org/W2112796928","https://openalex.org/W2117876524","https://openalex.org/W2194775991","https://openalex.org/W2535690855","https://openalex.org/W2793423901","https://openalex.org/W2842511635","https://openalex.org/W2962858109","https://openalex.org/W3154155772","https://openalex.org/W3174532363","https://openalex.org/W3182158470","https://openalex.org/W3188298126","https://openalex.org/W3197363474","https://openalex.org/W4224325687","https://openalex.org/W4225004701","https://openalex.org/W4283208007","https://openalex.org/W4295916002","https://openalex.org/W4296562799","https://openalex.org/W4312738800","https://openalex.org/W4312976602","https://openalex.org/W4362714589","https://openalex.org/W4379116546","https://openalex.org/W4382239683","https://openalex.org/W4385571042","https://openalex.org/W4386075674","https://openalex.org/W4386281056","https://openalex.org/W4387665621","https://openalex.org/W4387986864","https://openalex.org/W4388505026","https://openalex.org/W4390659346","https://openalex.org/W4391953554","https://openalex.org/W4393103422","https://openalex.org/W4393252682","https://openalex.org/W4400830279","https://openalex.org/W4401025004","https://openalex.org/W4402040583","https://openalex.org/W4402742360","https://openalex.org/W4403582574","https://openalex.org/W4403937513","https://openalex.org/W4406137527","https://openalex.org/W6728757088","https://openalex.org/W6743688258","https://openalex.org/W6771533808","https://openalex.org/W6774314701","https://openalex.org/W6787972765","https://openalex.org/W6811351543","https://openalex.org/W6838753313","https://openalex.org/W6840141968","https://openalex.org/W6863687713","https://openalex.org/W6869404756"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,102],"cooperative":[1],"intelligent":[2],"transportation":[3],"systems":[4],"(CITS),":[5],"federated":[6,51],"learning":[7],"enables":[8,139],"vehicles":[9,74,140,156],"to":[10,26,45,66,128,141,239,255],"train":[11],"a":[12,100,214],"global":[13,35,124,149,203,253],"model":[14,36,197,226,254],"without":[15,88,241],"sharing":[16],"private":[17],"data.":[18,83,136],"However,":[19],"the":[20,28,34,43,49,67,76,81,96,118,123,134,143,148,152,165,168,174,188,202,208,219,234,246,251],"lack":[21],"of":[22,30,154,167,173,222,250],"an":[23,108],"unlearning":[24,52,57,87,144,185,223,235],"mechanism":[25],"remove":[27,129],"influence":[29],"vehicle-specified":[31],"data":[32,39,98,170,211],"from":[33,133,180],"potentially":[37],"violates":[38],"protection":[40],"regulations":[41],"regarding":[42],"right":[44],"be":[46],"forgotten.":[47],"While":[48],"existing":[50],"(FU)":[53],"methods":[54],"exhibit":[55],"promising":[56],"effects,":[58],"their":[59],"practicality":[60],"in":[61,114],"CITS":[62,115],"is":[63],"hindered":[64],"due":[65],"time-consuming":[68,242],"retraining":[69],"steps":[70],"required":[71],"by":[72,121,237],"other":[73,155],"and":[75,110,157,163,212,262],"non-negligible":[77],"performance":[78,93,248],"sacrifice":[79],"on":[80,95,147,225],"un-forgotten":[82,97,189],"Therefore,":[84],"achieving":[85,195],"effective":[86,111,184],"extensive":[89],"retraining,":[90,243],"while":[91,186,244],"minimizing":[92,218],"degradation":[94],"remains":[99],"challenge.":[101],"this":[103],"work,":[104],"we":[105],"propose":[106],"FedEditor,":[107],"efficient":[109],"FU":[112],"framework":[113],"that":[116,231],"addresses":[117],"above":[119],"challenge":[120],"reconfiguring":[122],"model\u2019s":[125,204],"representation":[126],"space":[127],"critical":[130],"classification-related":[131],"knowledge":[132,191],"unlearned":[135,169],"Firstly,":[137],"FedEditor":[138,161,200,232],"perform":[142],"process":[145],"locally":[146],"model,":[150],"eliminating":[151],"participation":[153],"improving":[158],"efficiency.":[159],"Secondly,":[160],"captures":[162],"aligns":[164],"representations":[166],"with":[171],"those":[172],"nearest":[175],"incorrect":[176],"class":[177],"centroid":[178],"derived":[179],"non-training":[181],"data,":[182],"ensuring":[183],"preserving":[187],"data\u2019s":[190],"relatively":[192],"intact":[193],"for":[194],"competitive":[196],"performance.":[198,227],"Finally,":[199],"refines":[201],"output":[205],"distributions":[206],"using":[207],"vehicles\u2019":[209],"remaining":[210],"incorporates":[213],"drift-mitigating":[215],"regularization":[216],"term,":[217],"negative":[220],"impact":[221],"operations":[224],"Experimental":[228],"results":[229],"show":[230],"reduces":[233],"rate":[236],"up":[238],"99.64%":[240],"limiting":[245],"predictive":[247],"loss":[249],"resulting":[252],"less":[256],"than":[257],"3.88%":[258],"across":[259],"five":[260],"models":[261],"seven":[263],"datasets.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
