PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing

Zhichao You, Xuewen Dong, Ke Cheng +5

Fine-tuning large language models (LLMs) raises privacy concerns due to the risk of exposing sensitive training data. Federated learning (FL) mitigates this risk by keeping trainin…