Publication

Multi-agent Adversarial Training Using Diffusion Learning

2023

Abstract

This work focuses on adversarial learning over graphs. We propose a general adversarial training framework for multi-agent systems using diffusion learning. We analyze the convergence properties of the proposed scheme for convex optimization problems, and illustrate its enhanced robustness to adversarial attacks.

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Multi-agent Adversarial Training Using Diffusion Learning

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