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Edoardo Gabrielli

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#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

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