Federated Distributed Deep Reinforcement Learning for Recommendation-enabled Edge Caching.
Hao WangHuan ZhouMingze LiLiang ZhaoVictor C. M. LeungPublished in: INFOCOM (Workshops) (2024)
Keyphrases
- reinforcement learning
- distributed systems
- multi agent
- distributed data
- recommender systems
- federated databases
- function approximation
- cooperative
- distributed information systems
- distributed environment
- peer to peer networks
- edge information
- communication cost
- prefetching
- databases
- user preferences
- learning process
- digital libraries
- scalable distributed
- network latency
- distributed network
- mobile agents
- model free
- peer to peer
- data management
- query processing
- neural network