3 papers
cs.LG2026
ADMM-Based Training for Spiking Neural Networks
Giovanni Perin, Cesare Bidini, Riccardo Mazzieri +1
In recent years, spiking neural networks (SNNs) have gained momentum due to their high potential in time-series processing combined with minimal energy consumption. However, they s…
cs.NE2025
LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
Yesmine Abdennadher, Giovanni Perin, Riccardo Mazzieri +2
Spiking Neural Networks (SNNs) are highly regarded for their energy efficiency, inherent activation sparsity, and suitability for real-time processing in edge devices. However, mos…
eess.SY2024
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
Luca Ballotta, Nicolò Dal Fabbro, Giovanni Perin +3
Assisted and autonomous driving are rapidly gaining momentum and will soon become a reality. Artificial intelligence and machine learning are regarded as key enablers thanks to the…