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20222026
most citedRecursive Identification of Binary-Valued Systems under Uniform Persistent Excitations

5 citations · 10 across the 8 of their papers we have counts for

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6 papers · 1 filter

eess.SY2026

Recursive Binary Identification with Differential Privacy and Data Tampering Attacks

Jimin Wang, Jieming Ke, Jin Guo +1

In this paper, we consider the parameter estimation in a bandwidth-constrained sensor network communicating through an insecure medium. The sensor performs a local quantization, an…

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.SY2024

Signal-Comparison-Based Distributed Estimation Under Decaying Average Data Rate Communications

Jieming Ke, Xiaodong Lu, Yanlong Zhao +1

The paper investigates the distributed estimation problem under low bit rate communications. Based on the signal-comparison (SC) consensus protocol under binary-valued communicatio…

eess.SY2022★ 5 cited

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…

eess.SY2022★ 5 cited

Recursive Identification of Binary-Valued Systems under Uniform Persistent Excitations

Jieming Ke, Ying Wang, Yanlong Zhao +1

This paper studies the control-oriented identification problem of set-valued moving average systems with uniform persistent excitations and observation noises. A stochastic approxi…