Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach.
Xiaojing ChenZhenyuan LiWei NiXin WangShunqing ZhangYanzan SunShugong XuQingqi PeiPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- learning process
- learning algorithm
- learning systems
- dynamic resource allocation
- scheduling problem
- autonomous learning
- prior knowledge
- state space
- dynamic programming
- supervised learning
- knowledge acquisition
- active learning
- learning problems
- action selection
- learning agents
- information systems