Deep learning-based privacy preservation and data analytics for IoT enabled healthcare

H Bi, J Liu, N Kato - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
With the development of the industrial Internet of Things (IIoT), intelligent healthcare aims to
build a platform to monitor users' health-related information based on wearable devices …

Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks

R Saha, M Seif, M Yemini… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We consider the problem of privately estimating the mean of vectors distributed across
different nodes of an unreliable wireless network, where communications between nodes …

Privacy-preserving consensus-based energy management in smart grids

C Zhao, J Chen, J He, P Cheng - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
Privacy has become a big concern for consumers in electricity consumption activities, as
privacy disclosure may cause losses to individuals. Since the information exchange and …

Privacy-preserving consensus for multi-agent systems via node decomposition strategy

Y Wang, J Lu, WX Zheng, K Shi - IEEE Transactions on Circuits …, 2021 - ieeexplore.ieee.org
This paper proposes two kinds of algorithms to achieve privacy-preserving consensus of
multi-agent systems over undirected graphs via node decomposition mechanism and …

Differentially private consensus algorithm for continuous-time heterogeneous multi-agent systems

XK Liu, JF Zhang, J Wang - Automatica, 2020 - Elsevier
This paper investigates the differential private algorithm for the average output consensus
control of continuous-time heterogeneous systems. A distributed hybrid controller is …

A consensus algorithm based on multi-agent system with state noise and gradient disturbance for distributed convex optimization

X Meng, Q Liu - Neurocomputing, 2023 - Elsevier
Almost all systems are inevitably subject to various uncertainties or disturbances from the
external environment in practical applications. Taking these factors into consideration, in this …

Privacy-preserved average consensus algorithms with edge-based additive perturbations

Y **ong, Z Li - Automatica, 2022 - Elsevier
In this paper, we consider the privacy preservation problem in continuous-time average
consensus algorithms with strongly connected and balanced graphs, against either internal …

Differentially private bipartite consensus over signed networks with time-varying noises

J Wang, J Ke, JF Zhang - IEEE Transactions on Automatic …, 2024 - ieeexplore.ieee.org
This paper investigates the differentially private bipartite consensus problem over signed
networks. To solve this problem, a new algorithm is proposed by adding noises with time …

Privacy-preserving distributed optimization via subspace perturbation: A general framework

Q Li, R Heusdens… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Privacy-preserving distributed processing: Metrics, bounds and algorithms

Q Li, JS Gundersen, R Heusdens… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Privacy-preserving distributed processing has recently attracted considerable attention. It
aims to design solutions for conducting signal processing tasks over networks in a …