Differentially Private Mixing of Public Datasets Improves Private Learning.

arXiv:2610.06636v1 Announce Type: cross Abstract: Many machine learning applications involve sensitive data and therefore require training under differential privacy (DP). However, DP training often degrades model utility. In some cases, first pre-training the