Recently, modeling of decision making and control systems that include heterogeneous
smart sensing devices (machines) as well as human agents as participants is becoming an …

This paper employs an audit bit based mechanism to mitigate the effect of Byzantine attacks
on distributed Bayesian detection systems. In this framework, the optimal attacking strategy …

This work considers a Bayesian signal processing problem where increasing the power of
the probing signal may cause risks or undesired consequences. We employ a market based …

This paper introduces a representative-based approach for distributed learning that
transforms multiple raw data points into a virtual representation. Unlike traditional distributed …

This paper proposes a belief-updating scheme in a human-machine collaborative decision-
making network to com-bat Byzantine attacks. A hierarchical framework is used to realize the …