On Optimal Hyperparameters for Differentially Private Deep Transfer Learning
arXiv:2510.20616v2 Announce Type: replace
Abstract: Differentially private (DP) transfer learning, i.e., fine-tuning a pretrained model on private data, is the current state-of-the-art approach for training large models under privacy constraints. We f…