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Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS

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Metadaten
Author:Rui SongORCiD, Liguo ZhouORCiD, Venkatnarayanan Lakshminarasimhan, Andreas FestagORCiD, Alois KnollORCiD
Language:English
Document Type:Conference Paper
Conference:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Beijing and Macau (China) & online, 18.09. - 12.10.2022
Year of first Publication:2022
published in (English):2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Publisher:IEEE
Place of publication:Piscataway
ISBN:978-1-6654-6880-0
First Page:3502
Last Page:3508
Review:peer-review
Open Access:nein
Tag:Computational modeling; Data models; Data privacy; Deep learning; Federated learning; Roads; Training
Faculties / Institutes / Organizations:Fakultät Elektro- und Informationstechnik
CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)
Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"
Release Date:2023/02/16