| KEYWORD |
Telecommunication Networks Group
Connected vehicles: distributed machine learning in the vehicle-edge-cloud continuum
Parole chiave ALGORITHMS, EXPERIMENTAL TESTBED, MACHINE LEARNING
Riferimenti CLAUDIO ETTORE CASETTI, CARLA FABIANA CHIASSERINI
Gruppi di ricerca Telecommunication Networks Group
Tipo tesi EXPERIMENTAL - DESIGN, EXPERIMENTAL - DEVELOPMENT
Descrizione The thesis topic will focus on the development of an architecture for efficient deployment and management of automotive applications for connected autonomous vehicles. Edge computing and aspects such as service placement and scaling at the edge and the vehicle will be addressed. For the feasibility assessment, a testbed development will be leveraged. The thesis also includes the use of ML-based algorithms in distributed environments, and the design of an architecture that can effectively exploit this paradigm in the mobile-edge-cloud continuum.
Conoscenze richieste - Good programming skills
- Basic knowledge on networking
Note The thesis is part of a project between Polito and Stellantis
Scadenza validita proposta 20/07/2022
PROPONI LA TUA CANDIDATURA