FedABR: A Personalized Federated Reinforcement Learning Approach for Adaptive Video Streaming.
Yeting XuXiang LiYi YangZhenjie LinLiming WangWenzhong LiPublished in: IFIP Networking (2023)
Keyphrases
- video streaming
- reinforcement learning
- video communication
- scalable video
- video streams
- rate control
- video quality
- peer to peer
- video transmission
- multiple description coding
- low complexity
- application layer
- network bandwidth
- multiple description
- context aware
- e learning
- digital libraries
- user perceived
- error resilience
- error resilient
- end to end
- video on demand
- rate adaptation
- data warehouse
- user profiles