2 papers
cs.CV2025
DiffoRA: Enabling Parameter-Efficient Fine-Tuning via Differential Module Selection
Tangyu Jiang, Haodi Wang, Chun Yuan
The Parameter-Efficient Fine-Tuning (PEFT) methods have been extensively researched for large language models in downstream tasks. Among all the existing approaches, the Low-Rank A…
cs.CR2025
Training with Differential Privacy: A Gradient-Preserving Noise Reduction Approach with Provable Security
Haodi Wang, Tangyu Jiang, Yu Guo +3
Deep learning models have been extensively adopted in various regions due to their ability to represent hierarchical features, which highly rely on the training set and procedures.…