3 papers
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
Usevalad Milasheuski, Luca Barbieri, Bernardo Camajori Tedeschini +2
Federated Learning (FL) allows multiple privacy-sensitive applications to leverage their dataset for a global model construction without any disclosure of the information. One of t…
Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning
Luca Barbieri, Bernardo Camajori Tedeschini, Mattia Brambilla +1
Accurate positioning is known to be a fundamental requirement for the deployment of Connected Automated Vehicles (CAVs). To meet this need, a new emerging trend is represented by c…
A Tutorial on 5G Positioning
Lorenzo Italiano, Bernardo Camajori Tedeschini, Mattia Brambilla +3
The widespread adoption of the fifth generation (5G) of cellular networks has brought new opportunities for the development of localization-based services. High-accuracy positionin…