2 papers
cs.LG2024
Federated Learning for distribution skewed data using sample weights
Hung Nguyen, Peiyuan Wu, Morris Chang
One of the most challenging issues in federated learning is that the data is often not independent and identically distributed (nonIID). Clients are expected to contribute the same…
cs.LG2023
Sample Complexity of Kernel-Based Q-Learning
Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh +3
Modern reinforcement learning (RL) often faces an enormous state-action space. Existing analytical results are typically for settings with a small number of state-actions, or simpl…