The problem of Byzantine resilience in distributed machine learning, aka Byzantine machine
learning, consists of designing distributed algorithms that can train an accurate model …

Wireless sensor networks (WSNs) are extensively adopted for remote monitoring and
tracking scenarios, such as battlefield surveillance, target detection and tracking, traffic …

Since modern smart grids have various and deeply coupled cyber-physical components,
they are vulnerable to malicious cyber attacks. Although regular defenses including firewall …

In this article, we study how to secure distributed filters for linear time-invariant systems with
bounded noise under false-data injection attacks. A malicious attacker is able to arbitrarily …

Distributed Kalman filtering techniques enable agents of a multiagent network to enhance
their ability to track a system and learn from local cooperation with neighbors. Enabling this …

We study how to design a secure observer-based distributed controller such that a group of
vehicles can achieve accurate state estimates and formation control even if the …

Remote state estimation through a wireless communication network is usually vulnerable to
malicious cyber-attacks, which can manipulate transmitted data without even being …

This article considers the problem of simultaneous sensor fault detection, isolation, and
networked estimation of linear full-rank dynamical systems. The proposed networked …

In this article, we study the distributed fusion estimation problem with energy-constrained
sensors in the presence of eavesdroppers, where smart sensors send their local estimates …

This paper considers the problem of Byzantine fault tolerance in distributed linear regression
in a multi-agent system. However, the proposed algorithms are given for a more general …