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A Distributed ML Framework for Service Deployment in the 5G-based Automotive Vertical.

, , , , , and . MeditCom, page 246-251. IEEE, (2021)

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A Distributed ML Framework for Service Deployment in the 5G-based Automotive Vertical., , , , , and . MeditCom, page 246-251. IEEE, (2021)The Fifth IEEE Workshop on Smart Vehicles: Connectivity Technologies and its Applications (SmartVehicles'18)., , , and . WOWMOM, page 11-12. IEEE Computer Society, (2018)Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis., , , , and . NCA, page 1-8. IEEE, (2020)Standardizing Security Evaluation Criteria for Connected Vehicles: A Modular Protection Profile., , , , , , and . CSCN, page 1-7. IEEE, (2019)On the Distribution of ML Workloads to the Network Edge and Beyond., , , , and . INFOCOM Workshops, page 1-6. IEEE, (2021)Can multimodal trip planning alter the travelers' mobility behavior? A cross-European study., , , , and . ITSC, page 2119-2124. IEEE, (2016)CVS: Design, Implementation, Validation and Implications of a Real-world V2I Prototype Testbed., , , , and . VTC Spring, page 1-5. IEEE, (2020)Enabling Efficient Common Criteria Security Evaluation for Connected Vehicles., , , and . CSR, page 234-240. IEEE, (2021)On the Resource Consumption of Distributed ML., , , , and . LANMAN, page 1-6. IEEE, (2021)Resource Allocation for Distributed Machine Learning at the Edge-Cloud Continuum., , , , , and . ICC, page 5017-5022. IEEE, (2022)