{"id":"https://openalex.org/W4411949832","doi":"https://doi.org/10.1109/vnc64509.2025.11054085","title":"Integrated Simulation of Federated Learning for Large Scale Intelligent Transportation Systems","display_name":"Integrated Simulation of Federated Learning for Large Scale Intelligent Transportation Systems","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4411949832","doi":"https://doi.org/10.1109/vnc64509.2025.11054085"},"language":"en","primary_location":{"id":"doi:10.1109/vnc64509.2025.11054085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc64509.2025.11054085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-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/A5082024512","display_name":"Nagacharan Teja Tangirala","orcid":"https://orcid.org/0000-0003-1991-3857"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nagacharan Teja Tangirala","raw_affiliation_strings":["Technical University of Munich,Chair of Robotics, Artificial Intelligence and Real-Time Systems,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Chair of Robotics, Artificial Intelligence and Real-Time Systems,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010180044","display_name":"Christoph Sommer","orcid":"https://orcid.org/0000-0002-4336-7350"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Sommer","raw_affiliation_strings":["TU Dresden,Faculty of Computer Science,Germany"],"affiliations":[{"raw_affiliation_string":"TU Dresden,Faculty of Computer Science,Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Technical University of Munich,Chair of Robotics, Artificial Intelligence and Real-Time Systems,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Chair of Robotics, Artificial Intelligence and Real-Time Systems,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082024512"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08553194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9333000183105469,"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":0.9333000183105469,"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":0.7338767051696777},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6163063645362854},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5490265488624573},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4147224426269531},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39664751291275024},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.37609800696372986},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17779439687728882},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13970258831977844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338767051696777},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6163063645362854},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5490265488624573},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4147224426269531},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39664751291275024},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.37609800696372986},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17779439687728882},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13970258831977844},{"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/vnc64509.2025.11054085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc64509.2025.11054085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2062789233","https://openalex.org/W2082414281","https://openalex.org/W2903709398","https://openalex.org/W2990167570","https://openalex.org/W3063715646","https://openalex.org/W3091180885","https://openalex.org/W3162480662","https://openalex.org/W3206389158","https://openalex.org/W4282924463","https://openalex.org/W4287332481","https://openalex.org/W4312269833","https://openalex.org/W4320067172","https://openalex.org/W4383033555","https://openalex.org/W4385338532","https://openalex.org/W4387105517","https://openalex.org/W4388569120","https://openalex.org/W4389060678","https://openalex.org/W4390904884","https://openalex.org/W4391768879","https://openalex.org/W4399423288","https://openalex.org/W4399772130","https://openalex.org/W4400233329","https://openalex.org/W4400315151","https://openalex.org/W4401639680","https://openalex.org/W4402025943","https://openalex.org/W4403407892","https://openalex.org/W4403456912","https://openalex.org/W4403636486","https://openalex.org/W4404875203","https://openalex.org/W4406267193","https://openalex.org/W4410229078","https://openalex.org/W6728757088","https://openalex.org/W6781175393","https://openalex.org/W6799114292"],"related_works":["https://openalex.org/W2521728836","https://openalex.org/W2008793610","https://openalex.org/W3081865863","https://openalex.org/W4399654348","https://openalex.org/W2363526272","https://openalex.org/W3175632857","https://openalex.org/W2138264352","https://openalex.org/W4285065526","https://openalex.org/W4386608660","https://openalex.org/W2354191457"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"is":[3,9],"a":[4,13,72,104,109,153],"decentralized":[5,39],"learning":[6],"paradigm":[7],"that":[8,122,132],"expected":[10],"to":[11,51,66,84,98],"play":[12],"substantial":[14],"role":[15],"in":[16],"both":[17],"the":[18,56,68,94,115,142,160],"network":[19],"management":[20],"of":[21,41,71,88,117,146,164],"5G":[22],"and":[23,26,38,90,102,131,144,162],"beyond":[24],"protocols":[25],"smart":[27],"city":[28],"applications":[29,161],"like":[30],"Intelligent":[31],"Transportation":[32],"System":[33],"(ITS).":[34],"The":[35],"massive":[36],"scale":[37],"nature":[40],"FL":[42,57,61,89,128,133,155],"makes":[43],"them":[44],"depend":[45],"on":[46],"Vehicular":[47],"Ad-hoc":[48],"Networks":[49],"(VANETs)":[50],"support":[52],"model":[53,67],"exchanges":[54],"between":[55],"participants.":[58],"However,":[59],"traditional":[60,154],"simulators":[62],"are":[63],"not":[64],"designed":[65],"communication":[69],"behavior":[70],"VANET.":[73,91],"We":[74,92,113,139],"address":[75],"this":[76],"gap":[77],"by":[78,107,149],"proposing":[79],"an":[80],"integrated":[81,119],"simulation":[82,100],"approach":[83,148],"facilitate":[85],"combined":[86],"studies":[87],"describe":[93],"necessary":[95],"design":[96],"changes":[97],"common":[99],"components":[101],"implement":[103],"sample":[105],"simulator":[106],"extending":[108],"simplified":[110],"VANET":[111,124],"simulator.":[112,156],"demonstrate":[114,141],"need":[116],"such":[118],"simulation,":[120],"illustrating":[121],"typical":[123],"effects":[125],"substantially":[126,135],"impact":[127],"training":[129,134],"\u2013":[130],"impacts":[136],"ITS":[137],"infrastructure.":[138],"also":[140],"fidelity":[143],"performance":[145],"our":[147,165],"comparing":[150],"it":[151],"with":[152],"Finally,":[157],"we":[158],"discuss":[159],"limitations":[163],"proposed":[166],"approach.":[167]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
