SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA

Jianmin Liu, Li Yan, Borui Li +2

Federated fine-tuning is critical for improving the performance of large language models (LLMs) in handling domain-specific tasks while keeping training data decentralized and priv…