There has been an ever-increasing interest in multi-disciplinary research on multisensor
data fusion technology, driven by its versatility and diverse areas of application. Therefore …

In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …

This paper studies the multi-agent average consensus problem under the requirement of
differential privacy of the agents' initial states against an adversary that has access to all the …

In this article, we develop distributed iterative algorithms that enable the components of a
multicomponent system, each with some integer initial value, to asymptotically compute the …

In this paper, we develop and analyze a distributed privacy-preserving average consensus
algorithm that enables all of the components of a distributed system, each with some initial …

As the modern world becomes increasingly digitized and interconnected, distributed signal
processing has proven to be effective in processing its large volume of data. However, a …

This paper aims at secure and privacy-preserving consensus algorithms of networked
systems. Due to the technical challenges behind decentralized design of such algorithms …

Rapid developments in digital system and networking technologies have led to the
emergence of complex systems that are de facto managed and controlled over cyber …

Privacy-preserving distributed processing has recently attracted considerable attention. It
aims to design solutions for conducting signal processing tasks over networks in a …

One major concern of distributed computation in networks is the privacy of the individual
nodes. To address this privacy issue in the context of the distributed average consensus …