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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…
math.OC2025
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…