Virtual power plants (VPPs) represent an effective way to aggregate various distributed
energy resources (DERs) to participate in the double auction market. Currently, the surge in …

The framework of differential privacy protects an individual's privacy while publishing query
responses on congregated data. In this work, a new noise addition mechanism for …

Networked systems are increasingly the target of cyberattacks that exploit vulnerabilities
within digital communications, embedded hardware, and software. Arguably, the simplest …

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 …

Since foreign object intrusion is a cause of train accidents, railway image classification
neural network is established to recognize any input railway images for intelligence control …

This paper addresses the problem of multi-source survey data sharing in power system
engineering by proposing two improved methods: a survey data sharing method combined …

In many applications of differential privacy (DP), continuous distributions such as the
Laplace or the Gaussian are employed to perturb data queries. However, continuous …

Differential privacy is typically ensured by perturbation with additive noise that is sampled
from a known distribution. Conventionally, independent and identically distributed (iid) noise …

In this brief, we present an enhanced privacy-preserving distributed estimation algorithm,
referred to as the``Double-Private Algorithm," which combines the principles of both …

In this paper, a private distributed estimation algorithm is proposed. In this algorithm, a
differential-privacy noise is added to the intermediate estimation to be exchanged among …