Federated Reinforcement Learning

A publication catalog for research on Federated Reinforcement Learning (FRL).

Overviews

Chapter 9 of Federated Learning 12/19

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges 08/21

Misc

Federated Deep Reinforcement Learning 01/19

Federated Reinforcement Learning for Fast Personalization 09/19

Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning 05/20

AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET 07/20

The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication 03/21

Reward Shaping Based Federated Reinforcement Learning 04/21

Robotics

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems 05/19

Federated Reinforcement Learning Acceleration Method for Precise Control of Multiple Devices 05/21

Autonomous navigation / V2V

Federated Transfer Reinforcement Learning for Autonomous Driving 10/19

Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications 12/19

Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning 12/20

Multi-Task Federated Reinforcement Learning with Adversaries 03/21

Towards Cooperative Caching for Vehicular Networks with Multi-level Federated Reinforcement Learning 06/21

Networks / IoT

Federated learning-based computation offloading optimization in edge computing-supported internet of things 06/19

Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching 04/20

Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks 04/20

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network 09/20

Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning 10/20

Federated Reinforcement Learning for Energy Management of Multiple Smart Homes with Distributed Energy Resources 11/20

Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing 12/20

Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching 01/21

Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning 02/21

Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks 04/21

Towards Accurate Anomaly Detection in Industrial Internet-of-Things using Hierarchical Federated Learning 04/21

Multi-Agent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber-Physical Systems 05/21

Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs 06/21

HFDRL: An Intelligent Dynamic Cooperate Cashing Method Based on Hierarchical Federated Deep Reinforcement Learning in Edge-Enabled IoT 06/21

An Edge Federated MARL Approach for Timeliness Maintenance in MEC Collaboration 06/21

Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning 06/21

Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach 06/21

Federated Deep Reinforcement Learning for User Access Control in Open Radio Access Networks 06/21

A Federated Reinforcement Learning Framework for Incumbent Technologies in Beyond 5G Networks 08/21

Access Control for RAN Slicing based on Federated Deep Reinforcement Learning 08/21

Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks 08/21