{"id":"https://openalex.org/W4406856938","doi":"https://doi.org/10.1109/jiot.2025.3534982","title":"Differentially Private Federated Stochastic Primal-Dual Learning for Internet of Vehicles","display_name":"Differentially Private Federated Stochastic Primal-Dual Learning for Internet of Vehicles","publication_year":2025,"publication_date":"2025-01-27","ids":{"openalex":"https://openalex.org/W4406856938","doi":"https://doi.org/10.1109/jiot.2025.3534982"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3534982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3534982","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/A5100633409","display_name":"Yiwei Li","orcid":"https://orcid.org/0000-0002-8380-4164"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Li","raw_affiliation_strings":["Fujian Key Laboratory of Communication Network and Information Processing, Xiamen University of Technology, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-8380-4164","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Communication Network and Information Processing, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328224","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-6457-9478"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6457-9478","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064271996","display_name":"Tsung\u2010Hui Chang","orcid":"https://orcid.org/0000-0003-1349-2764"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsung-Hui Chang","raw_affiliation_strings":["School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China","School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, and Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1349-2764","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, and Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.2394,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.98759632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"12","issue":"11","first_page":"17034","last_page":"17050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9979000091552734,"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":0.9979000091552734,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9842000007629395,"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/T12676","display_name":"Machine Learning and ELM","score":0.974399983882904,"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/computer-science","display_name":"Computer science","score":0.7780177593231201},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6201135516166687},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6109457015991211},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.47201794385910034},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3323516845703125},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2653900980949402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7780177593231201},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6201135516166687},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6109457015991211},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.47201794385910034},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3323516845703125},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2653900980949402},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3534982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3534982","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":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G535211921","display_name":null,"funder_award_id":"ZYGX2024XJ072","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8149512399","display_name":null,"funder_award_id":"62401121","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"},{"id":"https://openalex.org/F4320329841","display_name":"Guangdong Provincial Key Laboratory of Construction Foundation","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W2027595342","https://openalex.org/W2123705108","https://openalex.org/W2295652899","https://openalex.org/W2473418344","https://openalex.org/W2509467699","https://openalex.org/W2701059868","https://openalex.org/W2767079719","https://openalex.org/W2795097198","https://openalex.org/W2883059862","https://openalex.org/W2886902629","https://openalex.org/W2955535572","https://openalex.org/W2962741900","https://openalex.org/W2962782955","https://openalex.org/W2963748878","https://openalex.org/W2966080601","https://openalex.org/W2974175488","https://openalex.org/W2989743749","https://openalex.org/W2990239018","https://openalex.org/W2995022099","https://openalex.org/W2995073985","https://openalex.org/W2996782590","https://openalex.org/W3006655855","https://openalex.org/W3027749727","https://openalex.org/W3093809760","https://openalex.org/W3171189420","https://openalex.org/W3171657584","https://openalex.org/W3204468048","https://openalex.org/W4224443907","https://openalex.org/W4244393449","https://openalex.org/W4250658187","https://openalex.org/W4312765974","https://openalex.org/W4386212316","https://openalex.org/W4386524074","https://openalex.org/W4387870953","https://openalex.org/W4392979817","https://openalex.org/W4401725036","https://openalex.org/W6712762027","https://openalex.org/W6726020465","https://openalex.org/W6728757088","https://openalex.org/W6751623222","https://openalex.org/W6752600739","https://openalex.org/W6757118068","https://openalex.org/W6757292943","https://openalex.org/W6759238902","https://openalex.org/W6765541894","https://openalex.org/W6773817997","https://openalex.org/W6775563089","https://openalex.org/W6803350839"],"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":{"Federated":[0],"learning":[1,22,102],"(FL)":[2],"has":[3],"the":[4,21,25,96,108,145,148,161],"potential":[5],"to":[6,18,51,79,88,155],"empower":[7],"Internet":[8],"of":[9,27,68,98,121,147],"Vehicles":[10],"(IoV)":[11],"networks":[12],"by":[13],"enabling":[14],"smart":[15],"vehicles":[16],"(SVs)":[17],"participate":[19],"in":[20],"process":[23],"under":[24],"orchestration":[26],"a":[28,41,118,130],"vehicular":[29],"service":[30],"provider":[31],"while":[32,83,117],"keeping":[33],"data":[34,109,115,143],"locally.":[35],"In":[36],"this":[37],"article,":[38],"we":[39,105],"propose":[40],"novel":[42],"federated":[43],"stochastic":[44,70],"primal-dual":[45],"algorithm":[46,64],"with":[47],"differential":[48,85],"privacy":[49,54,86,90,127,137],"(FedSPD-DP)":[50],"ensure":[52,89],"robust":[53],"protection":[55],"for":[56],"FL":[57,157],"based":[58],"IoV":[59],"(FL-IoV)":[60],"systems.":[61],"The":[62],"FedSPD-DP":[63],"leverages":[65],"multiple":[66],"steps":[67,124],"local":[69,122],"gradient":[71],"descent":[72],"(SGD)":[73],"and":[74,112,136,159,164],"partial":[75],"client":[76],"participation":[77],"(PCP)":[78],"improve":[80],"communication":[81,134],"efficiency":[82,135],"incorporating":[84],"(DP)":[87],"protection.":[91,138],"Our":[92],"theoretical":[93],"analysis":[94],"explores":[95],"impact":[97],"these":[99],"strategies":[100],"on":[101,141],"performance.":[103],"Specifically,":[104],"demonstrate":[106],"that":[107],"sampling":[110],"strategy":[111],"PCP":[113],"enhance":[114],"privacy,":[116],"larger":[119],"number":[120],"SGD":[123],"may":[125],"increase":[126],"leakage,":[128],"revealing":[129],"nontrivial":[131],"tradeoff":[132],"between":[133],"Extensive":[139],"experiments":[140],"real-world":[142],"validate":[144],"effectiveness":[146],"proposed":[149],"algorithm,":[150],"showing":[151],"superior":[152],"performance":[153],"compared":[154],"state-of-the-art":[156],"algorithms,":[158],"confirming":[160],"analytical":[162],"results":[163],"properties.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}