Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data

Jun Liu, Yunming Liao, Hongli Xu +1

Fine-tuning large language models (LLMs) via federated learning, i.e., FedLLM, has been proposed to adapt LLMs for various downstream applications in a privacy-preserving way. To r…