Preventing overfitting in deep learning using differential privacy

Integrate differential privacy directly into simple PyTorch trainer templates to prevent model overfitting on small, noisy datasets. Create a drop-in library for 'Private-LoRA'.

Suggested repo: dp-train

"Keep your training data secret, even while fine-tuning."

Estimated effort: 30h