4 citations · 14 across the 6 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2024
Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning
Debora Caldarola, Pietro Cagnasso, Barbara Caputo +1
Federated learning (FL) enables collaborative model training with privacy preservation. Data heterogeneity across edge devices (clients) can cause models to converge to sharp minim…
cs.AI2019★ 4 cited
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
Andrea Celli, Marco Ciccone, Raffaele Bongo +1
Many real-world applications involve teams of agents that have to coordinate their actions to reach a common goal against potential adversaries. This paper focuses on zero-sum game…