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  KEYWORD

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