{"id":"https://openalex.org/W4396597356","doi":"https://doi.org/10.1109/iotm.001.2300259","title":"Federated Generative Artificial Intelligence Empowered Traffic Flow Prediction Under Vehicular Computing Power Networks","display_name":"Federated Generative Artificial Intelligence Empowered Traffic Flow Prediction Under Vehicular Computing Power Networks","publication_year":2024,"publication_date":"2024-05-01","ids":{"openalex":"https://openalex.org/W4396597356","doi":"https://doi.org/10.1109/iotm.001.2300259"},"language":"en","primary_location":{"id":"doi:10.1109/iotm.001.2300259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotm.001.2300259","pdf_url":null,"source":{"id":"https://openalex.org/S4210201254","display_name":"IEEE Internet of Things Magazine","issn_l":"2576-3180","issn":["2576-3180","2576-3199"],"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 Magazine","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/A5024793623","display_name":"Yujie Ye","orcid":"https://orcid.org/0000-0002-1067-5867"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Ye","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023535192","display_name":"Z.X. Zhao","orcid":"https://orcid.org/0000-0003-1252-4939"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zitong Zhao","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349496","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0001-8173-0408"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101709392","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0002-5474-3286"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Xidian University,State Key Laboratory of integrated Service Networks,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of integrated Service Networks,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033168204","display_name":"Jun Du","orcid":"https://orcid.org/0000-0002-5213-8808"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Du","raw_affiliation_strings":["Tsinghua University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065373445","display_name":"Qingqi Pei","orcid":"https://orcid.org/0000-0001-7601-5434"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqi Pei","raw_affiliation_strings":["Xidian University,State Key Laboratory of integrated Service Networks,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of integrated Service Networks,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3425,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87051619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":"3","first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9969000220298767,"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/T10524","display_name":"Traffic control and management","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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":0.636774480342865},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5484033226966858},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.5096011161804199},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.4867732524871826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4832328259944916},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3532649874687195},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.35112375020980835},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1622776985168457},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.12294283509254456},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.0918344259262085},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.059839487075805664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636774480342865},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5484033226966858},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.5096011161804199},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.4867732524871826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4832328259944916},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3532649874687195},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.35112375020980835},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1622776985168457},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.12294283509254456},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.0918344259262085},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.059839487075805664},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iotm.001.2300259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotm.001.2300259","pdf_url":null,"source":{"id":"https://openalex.org/S4210201254","display_name":"IEEE Internet of Things Magazine","issn_l":"2576-3180","issn":["2576-3180","2576-3199"],"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 Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8292956318","display_name":null,"funder_award_id":"62132013","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":15,"referenced_works":["https://openalex.org/W2901008672","https://openalex.org/W3012562343","https://openalex.org/W3015636663","https://openalex.org/W3026400623","https://openalex.org/W3045638580","https://openalex.org/W3049535205","https://openalex.org/W3101755493","https://openalex.org/W3135400423","https://openalex.org/W3178269927","https://openalex.org/W4293057810","https://openalex.org/W4310609530","https://openalex.org/W4321636282","https://openalex.org/W4323338293","https://openalex.org/W4378697336","https://openalex.org/W4382239616"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W3211753092","https://openalex.org/W1993670003"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,20,66,89],"prediction":[2,21,67,86],"holds":[3],"great":[4],"promise":[5],"in":[6,23,48],"prompting":[7],"the":[8,26,71,85,124,142],"rapid":[9],"development":[10],"of":[11,30,73,87],"intelligent":[12],"transportation":[13],"systems.":[14],"The":[15],"key":[16,128],"challenge":[17],"for":[18,131,148],"traffic":[19,31,65,88,96],"lies":[22],"effectively":[24],"modeling":[25],"complicated":[27],"spatiotemporal":[28],"dependencies":[29],"data":[32,51,116],"while":[33],"considering":[34],"privacy":[35,117],"and":[36,52,78,95,108,114,118,127],"cost":[37],"concerns.":[38],"Existing":[39],"methods":[40],"based":[41],"on":[42],"neural":[43],"networks":[44],"exhibit":[45],"limitations,":[46],"particularly":[47],"handling":[49],"dynamic":[50],"long-distance":[53],"dependencies.":[54],"To":[55],"address":[56],"these":[57],"challenges,":[58],"we":[59,121],"have":[60,122],"proposed":[61],"a":[62,103],"novel":[63],"distributed":[64],"architecture":[68,83],"that":[69],"makes":[70,84],"integration":[72],"generative":[74],"artificial":[75],"intelligence":[76],"(AI)":[77],"hierarchical":[79],"federated":[80],"learning.":[81],"This":[82],"by":[90],"incorporating":[91],"spatial":[92],"self-attention":[93],"module":[94],"delay-aware":[97],"feature":[98],"transformation":[99],"module,":[100],"which":[101],"achieves":[102],"better":[104],"balance":[105],"between":[106],"communication":[107],"computation":[109],"costs,":[110],"enhances":[111],"training":[112],"efficiency":[113],"guarantees":[115],"security.":[119],"Next,":[120],"introduced":[123],"important":[125],"characteristics":[126],"technologies":[129],"used":[130],"this":[132],"devised":[133],"architecture.":[134],"Finally,":[135],"several":[136],"open":[137],"issues":[138],"are":[139],"given":[140],"with":[141],"aim":[143],"to":[144],"attract":[145],"more":[146],"attentions":[147],"further":[149],"investigation.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
