activity
20242026
collaborators

10 papers

eess.SY2026

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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-…

eess.SY2025

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…

eess.SY2024

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…

eess.SY2024

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…