Low-Latency Federated Reinforcement Learning-Based Resource Allocation in Converged Access Networks.
Lihua RuanSourav MondalPubuduni Imali DiasElaine WongPublished in: OFC (2020)
Keyphrases
- resource allocation
- low latency
- reinforcement learning
- high speed
- high throughput
- resource allocation problems
- highly efficient
- resource management
- optimal resource allocation
- real time
- digital libraries
- virtual machine
- state space
- allocation problems
- reinforcement learning algorithms
- resource allocation decisions
- scarce resources
- learning algorithm
- markov decision processes
- machine learning
- stream processing
- low cost
- resource allocation and scheduling
- data sources
- wireless sensor networks
- multi agent
- distributed resource allocation