| KEYWORD |
Connected vehicles: distributed machine learning in the vehicle-edge-cloud continuum
keywords ALGORITHMS, EXPERIMENTAL TESTBED, MACHINE LEARNING
Reference persons CLAUDIO ETTORE CASETTI, CARLA FABIANA CHIASSERINI
Research Groups Telecommunication Networks Group
Thesis type EXPERIMENTAL - DESIGN, EXPERIMENTAL - DEVELOPMENT
Description 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.
Required skills - Good programming skills
- Basic knowledge on networking
Notes The thesis is part of a project between Polito and Stellantis
Deadline 20/07/2022
PROPONI LA TUA CANDIDATURA