5 citations · 6 across the 12 of their papers we have counts for
7 papers · 1 filter
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…