Author

Gabriele Tolomei

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#artificial intelligence Preprint Sep 2026

Explaining AI Agents Through Execution Traces

AI Agents are increasingly deployed in real-world settings, where they interact with external tools and make sequential decisions with limited human oversight. This creates a pressing need for reliable and auditable explanations of what an agent did and why. However, traditional Explainable AI (XAI) methods fall short...

Vittoria Vineis, Fabiano Veglianti, Lorenzo Antonelli et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Optimizing Byzantine Node Placement in Decentralized Federated Learning

This work introduces Byzantine Placement Influence (BPI), a set-level measure derived from the actual gossip dynamics that quantifies the cumulative exposure of honest nodes to Byzantine sources over the training horizon and shows that Byzantine placement is a critical but under-modeled dimension of DFL threat models a...

Edoardo Gabrielli, Gabriele Tolomei · 0 citations