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.
Resilient and private consensus in multi-agent systems / Fiore, D.; Russo, G.. - (2019), pp. 3478-3483. (Intervento presentato al convegno 18th European Control Conference, ECC 2019 tenutosi a ita nel 2019) [10.23919/ECC.2019.8796052].
Resilient and private consensus in multi-agent systems
Fiore D.Primo
;
2019
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
