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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




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