activity
20232026
most citedDecentralized LLM Inference over Edge Networks with Energy Harvesting

10 citations · 21 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks

Giovanni Perin, Michele Rossi, Enrique Tomás Martínez Beltrán +13

As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization tool into a distributed and inter…

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★ 1 cited

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★ 10 cited

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…

eess.SY2023★ 10 cited

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…