Tutorials

Abstract: The rapid evolution of intelligent transportation systems is driving a paradigm shift toward data-driven, cooperative and autonomous mobility where vehicles and infrastructure continuously learn from distributed data sources. In this context, distributed machine learning has emerged as a key enabler for smart and safe mobility, allowing learning to take place directly within vehicular networks while addressing stringent constraints on latency, bandwidth, scalability and privacy.

Abstract:
The recent deployment of 5G technology, the fifth generation of mobile communications, together with active massive MIMO (mMIMO) antennas, has significantly improved telecommunications network performance in terms of data rate, efficiency, and latency. These advances enable a wide range of low-latency services, such as autonomous driving and telemedicine.