Liangqiong Qu

Exploring Federated Pruning for Large Language Models

2025 · arXiv (Cornell University)

LLM pruning has emerged as a promising technology for compressing LLMs, enabling their deployment on resource-limited devices. However, current methodologies typically require access to public calibration samples, which can be challenging to obtain in privacy-sensitive …