Author

Bao-Chun Li

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#artificial intelligence Jun 2025

Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA

It is demonstrated that LoRA significantly reduces memorization risks compared to full fine-tuning, while still maintaining strong task performance.

Fei Wang, Bao-Chun Li · arXiv.org · 6 citations · ⚡3

#artificial intelligence Review Feb 2024

FedReview: Review and Dispose Poisoned Updates without Validation Datasets or Historic Knowledge

FedReview, a review-based mechanism to identify and dispose the potential poisoned updates in federated learning, is proposed, which enables the server to learn a well-performing global model in adversarial environments.

Tianhang Zheng, Yan-Lu Li, Bo-Han Deng et al. · 0 citations