Cover Image

Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Haokun, Zhou, Jingyuan, Yang, Kaidi
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control
by: Zhou, Jingyuan, et al.
Published: (2024)

Fostering Data Collaboration in Digital Transportation Marketplaces: The Role of Privacy-Preserving Mechanisms
by: Wang, Qiqing, et al.
Published: (2026)

Scalable Synthesis and Verification of String Stable Neural Certificates for Interconnected Systems
by: Zhou, Jingyuan, et al.
Published: (2025)

Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning
by: Zhou, Jingyuan, et al.
Published: (2024)

Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control
by: Zhou, Jingyuan, et al.
Published: (2024)

Neural Cooperative Reach-While-Avoid Certificates for Interconnected Systems
by: Zhou, Jingyuan, et al.
Published: (2026)

Platoon-Centric Green Light Optimal Speed Advisory Using Safe Reinforcement Learning
by: Yang, Ruining, et al.
Published: (2025)

Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
by: Wang, Qiqing, et al.
Published: (2024)

Particle Filtering for Enhanced Parameter Estimation in Bilinear Systems Under Colored Noise
by: Elamin, Khalid Abd El Mageed Hag
Published: (2025)

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

Collective Grid: Privacy-Preserved Multi-Operator Energy Sharing Optimization via Federated Energy Prediction
by: Masoudi, Meysam, et al.
Published: (2026)

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

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

A Process-Aware Demand Response Evaluation Framework for Hydrogen-Integrated Zero-Carbon Steel Plants Coupled with Methanol Production
by: Ji, Qiang, et al.
Published: (2026)

Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning
by: Cederle, Matteo, et al.
Published: (2025)

Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework
by: Liang, Jinhao, et al.
Published: (2024)

Transport Map Coupling Filter for State-Parameter Estimation
by: Grashorn, Jan, et al.
Published: (2024)

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

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

Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
by: Lu, Ke, et al.
Published: (2024)

Parameter Stress Analysis in Reinforcement Learning: Applying Synaptic Filtering to Policy Networks
by: Abdeen, Zain ul, et al.
Published: (2025)

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

Coupling Smoothed Particle Hydrodynamics with Multi-Agent Deep Reinforcement Learning for Cooperative Control of Point Absorbers
by: Zhan, Yi, et al.
Published: (2026)

Learning Adaptive Parameter Policies for Nonlinear Bayesian Filtering
by: Straka, Ondrej, et al.
Published: (2026)

Hierarchical Game for Coupled Power System with Energy Sharing and Transportation System
by: Yan, Dongxiang, et al.
Published: (2023)

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

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

Online Coreset Selection for Learning Dynamic Systems
by: Li, Jingyuan, et al.
Published: (2025)

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

When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
by: Li, Yansong, et al.
Published: (2024)

Natural Gradient Bayesian Filtering: Geometry-Aware Filter for Dynamical Systems
by: Liu, Chang, et al.
Published: (2026)

Robust Nonlinear Data-Driven Predictive Control for Mixed Vehicle Platoons via Koopman Operator and Reachability Analysis
by: Li, Shuai, et al.
Published: (2025)

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

Synergising Hierarchical Data Centers and Power Networks: A Privacy-Preserving Approach
by: Liu, Junhong, et al.
Published: (2025)

Privacy-Preserving Distributed Stochastic Optimization with Homomorphic Encryption and Heterogeneous Stepsizes
by: Zhou, Haoqiang, et al.
Published: (2026)

A Federated Deep Learning Approach for Privacy-Preserving Real-Time Transient Stability Predictions in Power Systems
by: Hijazi, Maeshal, et al.
Published: (2024)

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

Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts
by: Huang, Jie, et al.
Published: (2025)

Privacy-Preserving Distributed Control for a Networked Battery Energy Storage System
by: Maithripala, Mihitha, et al.
Published: (2025)