2025
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
NeurIPS 2025poster
Fine-tuning large language models (LLMs) poses significant computational burdens, especially in federated learning (FL) settings. We introduce Layer-wise Efficient Federated Fine-tuning (LEFF), a novel method designed to enhance the efficiency of FL fine-tuning while preserving model performance and…