Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Pipattaratonchai, Teetat, Aueawatthanaphisut, Aueaphum |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2025)
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2025)
Probabilistic Geometric Alignment via Bayesian Latent Transport for Domain-Adaptive Foundation Models
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)
Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP
by: Aueawatthanaphisut, Aueaphum
Published: (2025)
by: Aueawatthanaphisut, Aueaphum
Published: (2025)
A Real-Time Neuro-Symbolic Ethical Governor for Safe Decision Control in Autonomous Robotic Manipulation
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)
Adaptive Federated Few-Shot Rare-Disease Diagnosis with Energy-Aware Secure Aggregation
by: Aueawatthanaphisut, Aueaphum
Published: (2025)
by: Aueawatthanaphisut, Aueaphum
Published: (2025)
Lyapunov-Aware Quantum-Inspired Reinforcement Learning for Continuous-Time Vehicle Control: A Feasibility Study
by: Kraipatthanapong, Nutkritta, et al.
Published: (2025)
by: Kraipatthanapong, Nutkritta, et al.
Published: (2025)
Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization
by: Shit, Rathin Chandra, et al.
Published: (2025)
by: Shit, Rathin Chandra, et al.
Published: (2025)
Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman Process
by: Montesuma, Eduardo Fernandes, et al.
Published: (2023)
by: Montesuma, Eduardo Fernandes, et al.
Published: (2023)
Optimizing Return Distributions with Distributional Dynamic Programming
by: Pires, Bernardo Ávila, et al.
Published: (2025)
by: Pires, Bernardo Ávila, et al.
Published: (2025)
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
by: Dong, Yi, et al.
Published: (2024)
by: Dong, Yi, et al.
Published: (2024)
Differentiable Distributionally Robust Optimization Layers
by: Ma, Xutao, et al.
Published: (2024)
by: Ma, Xutao, et al.
Published: (2024)
Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models
by: Kronenwett, Felix, et al.
Published: (2025)
by: Kronenwett, Felix, et al.
Published: (2025)
Factor Graph Optimization for Leak Localization in Water Distribution Networks
by: Irofti, Paul, et al.
Published: (2025)
by: Irofti, Paul, et al.
Published: (2025)
Policy Optimization Algorithms in a Unified Framework
by: Wu, Shuang
Published: (2025)
by: Wu, Shuang
Published: (2025)
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
by: Baranwal, Mayank, et al.
Published: (2024)
by: Baranwal, Mayank, et al.
Published: (2024)
Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
by: Lin, Runze, et al.
Published: (2024)
by: Lin, Runze, et al.
Published: (2024)
Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)
by: Mostafavi, Saman, et al.
Published: (2023)
by: Mostafavi, Saman, et al.
Published: (2023)
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
by: Tan, Jing, et al.
Published: (2024)
by: Tan, Jing, et al.
Published: (2024)
Annealing Optimization for Progressive Learning with Stochastic Approximation
by: Mavridis, Christos, et al.
Published: (2022)
by: Mavridis, Christos, et al.
Published: (2022)
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection
by: HaghighiFard, M. Saeid, et al.
Published: (2024)
by: HaghighiFard, M. Saeid, et al.
Published: (2024)
Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025)
by: Lin, Runze, et al.
Published: (2025)
Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
by: Tan, Jinghong, et al.
Published: (2025)
by: Tan, Jinghong, et al.
Published: (2025)
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks
by: Vassallo, Maurizio, et al.
Published: (2024)
by: Vassallo, Maurizio, et al.
Published: (2024)
Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2023)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2023)
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms
by: Mohammadi, Esmaeel, et al.
Published: (2024)
by: Mohammadi, Esmaeel, et al.
Published: (2024)
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
by: Guillen-Perez, Antonio, et al.
Published: (2025)
by: Guillen-Perez, Antonio, et al.
Published: (2025)
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
by: Ojha, Ritesh, et al.
Published: (2023)
by: Ojha, Ritesh, et al.
Published: (2023)
Data Center Cooling System Optimization Using Offline Reinforcement Learning
by: Zhan, Xianyuan, et al.
Published: (2025)
by: Zhan, Xianyuan, et al.
Published: (2025)
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
by: Mukherjee, Sayak, et al.
Published: (2023)
by: Mukherjee, Sayak, et al.
Published: (2023)
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
by: Paolo, Giuseppe, et al.
Published: (2025)
by: Paolo, Giuseppe, et al.
Published: (2025)
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
by: Bai, Qinbo, et al.
Published: (2021)
by: Bai, Qinbo, et al.
Published: (2021)
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges
by: van der Sar, Erica, et al.
Published: (2025)
by: van der Sar, Erica, et al.
Published: (2025)
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2024)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2024)
A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
by: Maru, Vatsal
Published: (2025)
by: Maru, Vatsal
Published: (2025)
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
by: Jing, Gangshan, et al.
Published: (2021)
by: Jing, Gangshan, et al.
Published: (2021)
Learning Causal Structure Distributions for Robust Planning
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)
Similar Items
-
Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2025) -
Probabilistic Geometric Alignment via Bayesian Latent Transport for Domain-Adaptive Foundation Models
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026) -
Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP
by: Aueawatthanaphisut, Aueaphum
Published: (2025) -
A Real-Time Neuro-Symbolic Ethical Governor for Safe Decision Control in Autonomous Robotic Manipulation
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026) -
Adaptive Federated Few-Shot Rare-Disease Diagnosis with Energy-Aware Secure Aggregation
by: Aueawatthanaphisut, Aueaphum
Published: (2025)