Search Results for author: Bernardo Camajori Tedeschini

Found 3 papers, 0 papers with code

On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks

no code implementations29 Apr 2024 Usevalad Milasheuski. Luca Barbieri, Bernardo Camajori Tedeschini, Monica Nicoli, Stefano Savazzi

Federated Learning (FL) allows multiple privacy-sensitive applications to leverage their dataset for a global model construction without any disclosure of the information.

Benchmarking Federated Learning

Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning

no code implementations26 Feb 2024 Luca Barbieri, Bernardo Camajori Tedeschini, Mattia Brambilla, Monica Nicoli

In line with this trend, this paper proposes a novel data-driven cooperative sensing framework, termed Cooperative LiDAR Sensing with Message Passing Neural Network (CLS-MPNN), where spatially-distributed vehicles collaborate in perceiving the environment via LiDAR sensors.

Simultaneous Localization and Mapping

A Tutorial on 5G Positioning

no code implementations17 Nov 2023 Lorenzo Italiano, Bernardo Camajori Tedeschini, Mattia Brambilla, Huiping Huang, Monica Nicoli, Henk Wymeersch

The widespread adoption of the fifth generation (5G) of cellular networks has brought new opportunities for the development of localization-based services.

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