Resilient and private consensus in multi-agent systems

We expound recent results introduced in [1] and consider multi-agent systems interacting over directed network topologies where a subset of agents is adversary/faulty and where the non-faulty agents have the goal of reaching consensus, while fulfilling a differential privacy requirement on their initial conditions. By investigating the Differentially Private MSR (DP-MSR) algorithm in [1], we present preliminary results on the accuracy of the algorithm in terms of a priori knowledge of some parameters of the faulty nodes. The results are illustrated via simulations.