Imagen de Portada

Privacy-Preserving Cramér-Rao Lower Bound

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ke, Jieming, Wang, Jimin, Zhang, Ji-Feng
Formato:	Preprint
Publicado:	2025
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

State Estimation with Protecting Exogenous Inputs via Cramér-Rao Lower Bound Approach
por: Guo, Liping, et al.
Publicado: (2024)

Privacy-Preserving Distributed Estimation with Limited Data Rate
por: Ke, Jieming, et al.
Publicado: (2025)

Recursive Binary Identification with Differential Privacy and Data Tampering Attacks
por: Wang, Jimin, et al.
Publicado: (2026)

On the Use of Cramer-Rao Lower Bound for Least-Variance Circuit Parameters Identification of Li-ion Cells
por: Sovljanski, Vladimir, et al.
Publicado: (2024)

Saturability of the Quantum Cramér-Rao Bound in Multiparameter Quantum Estimation at the Single-Copy Level
por: Nurdin, Hendra I.
Publicado: (2024)

Cramér-Rao Bounds for the Simultaneous Estimation of Power System Electromechanical Modes and Forced Oscillations
por: Dosiek, Luke
Publicado: (2023)

Saturation of the Multiparameter Quantum Cramér-Rao Bound at the Single-Copy Level with Projective Measurements
por: Nurdin, Hendra I.
Publicado: (2024)

Recursive Identification of Binary-Valued Systems under Uniform Persistent Excitations
por: Ke, Jieming, et al.
Publicado: (2022)

Differentially Private Distributed Stochastic Optimization with Time-Varying Sample Sizes
por: Wang, Jimin, et al.
Publicado: (2023)

Signal-Comparison-Based Distributed Estimation Under Decaying Average Data Rate Communications
por: Ke, Jieming, et al.
Publicado: (2024)

Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants
por: Tan, Jianwei, et al.
Publicado: (2025)

Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs
por: Chen, Jialong, et al.
Publicado: (2025)

Differentially Private Distributed Nonconvex Stochastic Optimization with Quantized Communication
por: Chen, Jialong, et al.
Publicado: (2024)

Distributed Fusion Estimation with Protecting Exogenous Inputs
por: Guo, Liping, et al.
Publicado: (2025)

Observer-based Differentially Private Consensus for Linear Multi-agent Systems
por: Zong, Xiaofeng, et al.
Publicado: (2025)

A Privacy-Preserving Framework for Cloud-Based HVAC Control
por: Feng, Zhenan, et al.
Publicado: (2023)

Guaranteed Privacy-Preserving $\mathcal{H}_{\infty}$-Optimal Interval Observer Design for Bounded-Error LTI Systems
por: Khajenejad, Mohammad, et al.
Publicado: (2023)

Privacy-Preserving Resilient Vector Consensus
por: Liu, Bing, et al.
Publicado: (2024)

Converse Lyapunov Results for Switched Systems with Lower and Upper Bounds on Switching Intervals
por: Della Rossa, Matteo
Publicado: (2024)

Privacy-Preserving Nonlinear Cloud-based Model Predictive Control via Affine Masking
por: Zhang, Kaixiang, et al.
Publicado: (2021)

Privacy Preservation for Statistical Input in Dynamical Systems
por: Liu, Le, et al.
Publicado: (2025)

Distributed Platoon Control Under Quantization: Stability Analysis and Privacy Preservation
por: Zhang, Kaixiang, et al.
Publicado: (2025)

Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption
por: Wu, Tong, et al.
Publicado: (2021)

Privacy-Preserving Fully Distributed Gaussian Process Regression
por: Jang, Yeongjun, et al.
Publicado: (2025)

Preserving Privacy in Cloud-based Data-Driven Stabilization
por: Hosseinalizadeh, Teimour, et al.
Publicado: (2024)

Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings
por: Hou, Zeyin, et al.
Publicado: (2023)

Privacy-Preserving Uncertainty Disclosure for Facilitating Enhanced Energy Storage Dispatch
por: Qi, Ning, et al.
Publicado: (2025)

Recursive Privacy-Preserving Estimation Over Markov Fading Channels
por: Huang, Jie, et al.
Publicado: (2025)

Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization
por: Zhou, Yingjie, et al.
Publicado: (2025)

Privacy-Preserving Dynamic Average Consensus by Masking Reference Signals
por: Maithripala, Mihitha, et al.
Publicado: (2026)

Privacy Preservation by Local Design in Cooperative Networked Control Systems
por: Yang, Chao, et al.
Publicado: (2022)

Privacy Preservation by Intermittent Transmission in Cooperative LQG Control Systems
por: Lin, Wenhao, et al.
Publicado: (2024)

Privacy-Preserving Distributed Defense Framework for DC Microgrids Against Exponentially Unbounded False Data Injection Attacks
por: Zhang, Yi, et al.
Publicado: (2024)

Privacy-Preserving Peer-to-Peer Energy Trading via Hybrid Secure Computations
por: Liu, Junhong, et al.
Publicado: (2025)

Preserving Topology Privacy of Network Systems by Feedback: Conditions and Distributed Design
por: Li, Yushan, et al.
Publicado: (2026)

A Privacy Preserving Distributed Model Identification Algorithm for Power Distribution Systems
por: Chang, Chin-Yao
Publicado: (2023)

Parameter Privacy-Preserving Data Sharing: A Particle-Belief MDP Formulation
por: Yu, Haokun, et al.
Publicado: (2026)

Design of Stochastic Quantizers for Privacy Preservation
por: Liu, Le, et al.
Publicado: (2024)

A Volumetric Privacy Measure for Dynamical Systems With Bounded Disturbance
por: Weng, Chuanghong, et al.
Publicado: (2025)

Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks
por: Liu, Dong, et al.
Publicado: (2025)