{"id":"https://openalex.org/W4408325205","doi":"https://doi.org/10.1109/globecom52923.2024.10901545","title":"Federated Graph Neural Networks for Dynamic Computation Offloading in Vehicular Networks","display_name":"Federated Graph Neural Networks for Dynamic Computation Offloading in Vehicular Networks","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325205","doi":"https://doi.org/10.1109/globecom52923.2024.10901545"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5101043574","display_name":"Yanrong Xu","orcid":null},"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":"Yanrong Xu","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101914522","display_name":"Yunlong Lu","orcid":"https://orcid.org/0000-0001-6170-6013"},"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":"Yunlong Lu","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009617425","display_name":"Yueyue Dai","orcid":"https://orcid.org/0000-0002-2163-987X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyue Dai","raw_affiliation_strings":["Huazhong University of Science and Technology,Research Center of 6G Mobile Communications, School of Cyber Science and Engineering,Wuhan,China,430074"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Research Center of 6G Mobile Communications, School of Cyber Science and Engineering,Wuhan,China,430074","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053129469","display_name":"Chen Sun","orcid":"https://orcid.org/0000-0003-0256-091X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Sun","raw_affiliation_strings":["Sony R&#x0026;D Center,Wireless Network Research Department (WNRD),Beijing,China,100027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony R&#x0026;D Center,Wireless Network Research Department (WNRD),Beijing,China,100027","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604518","display_name":"Jiajia Liu","orcid":"https://orcid.org/0000-0002-1923-5964"},"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":"Jiajia Liu","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037725670","display_name":"Wenqi Zhang","orcid":"https://orcid.org/0000-0002-4482-6715"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenqi Zhang","raw_affiliation_strings":["Sony R&#x0026;D Center,Wireless Network Research Department (WNRD),Beijing,China,100027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony R&#x0026;D Center,Wireless Network Research Department (WNRD),Beijing,China,100027","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077478765","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-4733-0125"},"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":"Hao Wu","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044","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":0.9271,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77058375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4196","last_page":"4201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9883999824523926,"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":0.9883999824523926,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9761999845504761,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9553999900817871,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8279768228530884},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.536434531211853},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.5229347944259644},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4722646474838257},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4599892199039459},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.4571324586868286},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45550063252449036},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40040498971939087},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3105567693710327},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2391625940799713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23370003700256348},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.17241185903549194},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.14984768629074097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1288696825504303},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.12445050477981567},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11865681409835815},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.07332068681716919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8279768228530884},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.536434531211853},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.5229347944259644},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4722646474838257},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4599892199039459},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.4571324586868286},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45550063252449036},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40040498971939087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3105567693710327},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2391625940799713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23370003700256348},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.17241185903549194},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.14984768629074097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1288696825504303},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.12445050477981567},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11865681409835815},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.07332068681716919}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"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":16,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2775827109","https://openalex.org/W2895973886","https://openalex.org/W2901631215","https://openalex.org/W2974429275","https://openalex.org/W3030647508","https://openalex.org/W3038782910","https://openalex.org/W3184736002","https://openalex.org/W3196965214","https://openalex.org/W3201425084","https://openalex.org/W3209940515","https://openalex.org/W4311257609","https://openalex.org/W4312937689","https://openalex.org/W4313134679","https://openalex.org/W4362513762","https://openalex.org/W4385835680"],"related_works":["https://openalex.org/W2966556967","https://openalex.org/W2751308120","https://openalex.org/W4399169206","https://openalex.org/W2896883851","https://openalex.org/W2954039338","https://openalex.org/W4380356430","https://openalex.org/W3034137700","https://openalex.org/W3108946947","https://openalex.org/W2337102067","https://openalex.org/W4302338237"],"abstract_inverted_index":{"With":[0],"the":[1,26,30,33,49,74,123,157],"increasing":[2],"number":[3],"of":[4,6,17,32,51,76,181],"Internet":[5],"Things":[7],"devices":[8],"and":[9,35,73,116,134,153,183],"sensors":[10],"in":[11,122],"vehicular":[12,97,101,130],"network,":[13,118],"a":[14,85,145],"huge":[15],"amount":[16],"data":[18,41],"is":[19],"generated.":[20],"Vehicle":[21],"Edge":[22],"Computing":[23],"(VEC)":[24],"utilises":[25],"computation":[27,60,77,86,159],"resources":[28],"at":[29],"edge":[31],"network":[34,53,132],"can":[36],"efficiently":[37],"process":[38],"this":[39,142],"big":[40],"through":[42],"computational":[43],"offloading":[44,61,87,160,174,186],"techniques.":[45],"However,":[46],"due":[47],"to":[48,155],"neglect":[50],"communication":[52,68,71,131],"relationships":[54],"among":[55,162],"vehicles,":[56],"current":[57],"Vehicle-to-Vehicle":[58],"(V2V)":[59],"schemes":[62],"encounter":[63],"challenges":[64],"such":[65],"as":[66],"high":[67,173],"latency,":[69,187],"substantial":[70],"overhead,":[72],"wastage":[75],"resources.":[78],"To":[79],"address":[80],"these":[81],"challenges,":[82],"we":[83,127],"design":[84,128],"mechanism":[88],"based":[89,148],"on":[90,149],"Federated":[91,150],"Graph":[92],"Neural":[93],"Network":[94],"(GNN)":[95],"for":[96],"networks,":[98],"that":[99,168],"is,":[100],"FedGNN":[102],"(V-FedGNN).":[103],"Firstly,":[104],"our":[105,169],"modeling":[106],"approach":[107],"considers":[108],"features":[109],"including":[110],"vehicle":[111,163],"speed,":[112],"location,":[113],"available":[114],"resources,":[115],"wireless":[117],"which":[119],"are":[120],"embedded":[121],"graph":[124],"structure.":[125],"Secondly,":[126],"weighted":[129,136,158],"topology":[133],"propose":[135],"total":[137],"delay":[138],"optimization":[139],"problem.":[140],"Finally,":[141],"paper":[143],"proposes":[144],"prediction":[146,175],"model":[147],"Learning":[151],"(FL)":[152],"GNN":[154],"minimize":[156],"delays":[161],"nodes.":[164],"Experimental":[165],"results":[166],"demonstrate":[167],"proposed":[170],"scheme":[171],"achieves":[172,184],"accuracy,":[176],"with":[177],"an":[178],"average":[179],"value":[180],"98.1%":[182],"low":[185],"correspondingly.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
