Two-Phase Deep Reinforcement Learning of Dynamic Resource Allocation and Client Selection for Hierarchical Federated Learning.
Xiaojing ChenZhenyuan LiWei NiXin WangShunqing ZhangShugong XuQingqi PeiPublished in: ICCC (2022)
Keyphrases
- reinforcement learning
- learning algorithm
- learning process
- dynamic resource allocation
- learning agents
- supervised learning
- function approximation
- deep learning
- robot control
- learning problems
- background knowledge
- knowledge acquisition
- active learning
- learning tasks
- learning capabilities
- stochastic games
- state action
- reinforcement learning methods
- autonomous learning
- e learning