7 papers
Asymptotically Efficient Recursive Identification Under One-Bit Communications Achieving Original CRLB
Xingrui Liu, Jieming Ke, Mingjie Shao +1
This paper develops an asymptotically efficient recursive identification algorithm for autoregressive systems with exogenous inputs under one-bit communications. In particular, the…
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…
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…
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…
Asymptotic Efficiency Analysis of the Recursive Least-Squares Algorithm for ARX Systems Without Projection
Xingrui Liu, Jieming Ke, Yanlong Zhao
This paper investigates the optimality analysis of the recursive least-squares (RLS) algorithm for autoregressive systems with exogenous inputs (ARX systems). A key challenge in an…
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…