Server-Client Collaborative Distillation for Federated Reinforcement Learning.
Weiming MaiJiangchao YaoChen GongYa ZhangYiu-Ming CheungBo HanPublished in: ACM Trans. Knowl. Discov. Data (2024)
Keyphrases
- client server
- reinforcement learning
- central server
- client server architecture
- microsoft windows
- function approximation
- network communication
- model free
- ip address
- single user
- low latency
- markov decision processes
- cache management
- client server databases
- optimal policy
- web server
- outsourced databases
- learning algorithm
- state space
- peer to peer
- multi user
- digital libraries
- collaborative learning
- database
- multi agent
- distributed object
- operating system
- reinforcement learning algorithms
- action selection
- database server
- function approximators
- mobile agents
- mobile clients
- multiple users
- temporal difference
- geographically dispersed
- dynamic programming
- distributed databases
- website
- computer supported collaborative learning