Statistical inference and machine-learning algorithms have traditionally been developed for
data available at a single location. Unlike this centralized setting, modern data sets are …

This paper investigates the problem of resilient consensus under malicious attacks for
multiagent systems. Compared with most of existing works, a more general attack model is …

We address the problem of reaching resilient consensus among a set of agents in the
presence of faulty nodes (attacked or noisy). We propose general algorithms, ie, receiving …

Recent advances of consensus control have made it significant in multi-agent systems such
as in distributed machine learning, distributed multi-vehicle cooperative systems. However …

In this paper, we approach the problem of a set of network agents reaching resilient
consensus in the presence of a subset of attacked nodes. We devise a generalized method …

In this paper, we propose a framework to study the resistance to bribery of nodes in a
network via average consensus. We extend the proposed bribery resistance measure to sets …

We tackle the problem of a set of agents achieving resilient consensus in the presence of
attacked agents. We present a discrete-time reputation-based consensus algorithm for …

In Wireless Sensor Networks (WSNs), equally spaced timing for Medium Access Control
(MAC) is fundamental to guarantee throughput maximization from all nodes. This motivated …

In this paper, we address the resilient group consensus of multi-agent networks in the
presence of structured and unstructured Byzantine faults. In the case of structured Byzantine …

This paper addresses the time synchronization problem of asynchronous wireless sensor
networks (WSNs) under false data injection attacks. First, we extend the fundamental metric …