3 papers
cs.LG2025
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…
cs.DC2024
Decentralized LLM Inference over Edge Networks with Energy Harvesting
Aria Khoshsirat, Giovanni Perin, Michele Rossi
Large language models have significantly transformed multiple fields with their exceptional performance in natural language tasks, but their deployment in resource-constrained envi…