A cyber-physical system (CPS) consists of a large number of geographically dispersed
entities and distributed data sharing is necessary to achieve network-wide goals. However …

This article develops a cloud-based protocol for a constrained quadratic optimization
problem involving multiple parties, each holding private data. The protocol is based on the …

Designing privacy-preserving distributed algorithms for stochastic aggregative games is
urgent due to the privacy issues caused by information exchange between players. This …

Emerging industrial platforms such as the Internet of Things (IoT), Industrial Internet (II) in the
US and Industrie 4.0 in Europe have tremendously accelerated the development of new …

The problem of preserving the privacy of individual entries of a database when responding
to linear or nonlinear queries with constrained additive noise is considered. For privacy …

The distributed computation of a Nash equilibrium in aggregative games is gaining
increased traction in recent years. Of particular interest is the coordinator-free scenario …

In the era of smart cities, Internet of Things, and Mobility-as-a-Service, the need for private
operators to willingly share data with public agencies is greater than ever before. However, it …

The Internet of Things (IoT) promises many advantages in the control and monitoring of
physical systems from both efficacy and efficiency perspectives. However, in the wrong …

Real-time data-driven optimization and control problems over networks may require
sensitive information of participating users to calculate solutions and decision variables …

This article presents a way to improve the Diffusion LMS algorithm in practical scenarios
while maintaining data privacy. It focuses on reducing external errors and ensuring accurate …