Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning.
Tianqing ZhuWei ZhouDayong YeZishuo ChengJin LiPublished in: IEEE Internet Things J. (2022)
Keyphrases
- resource allocation
- reinforcement learning
- resource management
- resource allocation problems
- optimal resource allocation
- management system
- allocation problems
- game theory
- social welfare
- function approximation
- resource requirements
- dynamic resource allocation
- allocate resources
- job scheduling
- grid environment
- resource allocation decisions
- resource allocation and scheduling
- scarce resources
- resource consumption
- combinatorial auctions
- cloud computing
- multi agent
- reinforcement learning algorithms
- model free
- resource availability
- optimal policy
- distributed systems
- data sources
- decision making