Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models

Haonan Shi, Tu Ouyang, An Wang

Instruction tuning has proven effective in enhancing Large Language Models' (LLMs) performance on downstream tasks. However, real-world fine-tuning faces inherent conflicts between…