5 citations · 6 across the 12 of their papers we have counts for
13 papers · 1 filter
Differentially Private Consensus for Time-Delay Multi-agent Systems
Mingyu Wang, Xiaofeng Zong, Jimin Wang +1
This paper is concerned with the differentially private consensus problem for discrete-time multi-agent systems with communication delays. The purpose of the paper is to achieve di…
Observer-based Differentially Private Consensus for Linear Multi-agent Systems
Xiaofeng Zong, Ming-Yu Wang, Jimin Wang +1
This paper investigates the differentially private consensus problem for general linear multi-agent systems (MASs) based on output feedback protocols. To protect the output informa…
Distributed Fusion Estimation with Protecting Exogenous Inputs
Liping Guo, Jimin Wang, Yanlong Zhao +1
In the context of distributed fusion estimation, directly transmitting local estimates to the fusion center may cause a privacy leakage concerning exogenous inputs. Thus, it is cru…
CKKS Cryptosystem-Based Secure Parameter Identification for Multi-Participant ARX Systems
Jialong Chen, Ji-Feng Zhang, Jimin Wang
This paper investigates parameter identification for multi-participant autoregressive systems with exogenous input (ARX systems) while protecting the system input and output. A nov…
Privacy-Preserving Cramér-Rao Lower Bound
Jieming Ke, Jimin Wang, Ji-Feng Zhang
This paper establishes the privacy-preserving Cramer-Rao lower bound (CRLB) theory, characterizing the fundamental limit of identification accuracy under privacy constraint for gen…
Privacy-Preserving Distributed Estimation with Limited Data Rate
Jieming Ke, Jimin Wang, Ji-Feng Zhang
This paper focuses on the privacy-preserving distributed estimation problem with a limited data rate, where the observations are the sensitive information. Specifically, a binary-v…
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants
Jianwei Tan, Jimin Wang, Ji-Feng Zhang
This paper proposes a differentially private recursive least squares algorithm to estimate the parameter of autoregressive systems with exogenous inputs and multi-participants (MP-…
Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs
Jialong Chen, Jimin Wang, Ji-Feng Zhang
This paper proposes a differentially private gradient-tracking-based distributed stochastic optimization algorithm over directed graphs. In particular, privacy noises are incorpora…
State Estimation with Protecting Exogenous Inputs via Cramér-Rao Lower Bound Approach
Liping Guo, Jimin Wang, Yanlong Zhao +1
This paper addresses the real-time state estimation problem for dynamic systems while protecting exogenous inputs against adversaries, who may be honest-but-curious third parties o…
Differentially Private Distributed Nonconvex Stochastic Optimization with Quantized Communication
Jialong Chen, Jimin Wang, Ji-Feng Zhang
This paper proposes a new distributed nonconvex stochastic optimization algorithm that can achieve privacy protection, communication efficiency and convergence simultaneously. Spec…
Consensus-Based Distributed Nonlinear Filtering with Kernel Mean Embedding
Liping Guo, Jimin Wang, Yanlong Zhao +1
This paper proposes a consensus-based distributed nonlinear filter with kernel mean embedding (KME). This fills with gap of posterior density approximation with KME for distributed…
Differentially Private Distributed Stochastic Optimization with Time-Varying Sample Sizes
Jimin Wang, Ji-Feng Zhang
Differentially private distributed stochastic optimization has become a hot topic due to the urgent need of privacy protection in distributed stochastic optimization. In this paper…
Differentially Private Bipartite Consensus over Signed Networks with Time-Varying Noises
Jimin Wang, Jieming Ke, Ji-Feng Zhang
This paper investigates the differentially private bipartite consensus algorithm over signed networks. The proposed algorithm protects each agent's sensitive information by adding…