2 papers
cs.LG2026
Domain-Skewed Federated Learning with Feature Decoupling and Calibration
Huan Wang, Jun Shen, Jun Yan +1
Federated learning (FL) allows distributed clients to collaboratively train a global model in a privacy-preserving manner. However, one major challenge is domain skew, where client…
cs.CL2026
ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning
Mingluo Su, Huan Wang
Pruning is widely recognized as an effective method for reducing the parameters of large language models (LLMs), potentially leading to more efficient deployment and inference. One…