awesome-federated-reinforcement-learning
Publication catalog for research on Federated RL (FRL).
https://github.com/siomvas/awesome-federated-reinforcement-learning
Last synced: about 12 hours ago
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Overviews
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Misc
- Federated Deep Reinforcement Learning
- Federated Reinforcement Learning for Fast Personalization
- Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
- AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET
- The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
- Reward Shaping Based Federated Reinforcement Learning
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Robotics
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Autonomous navigation / V2V
- Federated Transfer Reinforcement Learning for Autonomous Driving
- Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications
- Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning
- Multi-Task Federated Reinforcement Learning with Adversaries
- Towards Cooperative Caching for Vehicular Networks with Multi-level Federated Reinforcement Learning
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Networks / IoT
- Federated learning-based computation offloading optimization in edge computing-supported internet of things
- Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching
- Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks
- When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network
- Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning
- Federated Reinforcement Learning for Energy Management of Multiple Smart Homes with Distributed Energy Resources
- Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
- Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
- Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning
- Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks
- Towards Accurate Anomaly Detection in Industrial Internet-of-Things using Hierarchical Federated Learning
- Multi-Agent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber-Physical Systems
- Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
- HFDRL: An Intelligent Dynamic Cooperate Cashing Method Based on Hierarchical Federated Deep Reinforcement Learning in Edge-Enabled IoT
- An Edge Federated MARL Approach for Timeliness Maintenance in MEC Collaboration
- Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning
- Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach
- Federated Deep Reinforcement Learning for User Access Control in Open Radio Access Networks
- A Federated Reinforcement Learning Framework for Incumbent Technologies in Beyond 5G Networks
- Access Control for RAN Slicing based on Federated Deep Reinforcement Learning
- Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks
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