Revisiting Differentially Private Hyper-parameter Tuning

Zihang Xiang, Tianhao Wang, Chenglong Wang +1

We study the application of differential privacy in hyper-parameter tuning, a crucial process in machine learning involving selecting the best hyper-parameter from several candidat…