Differentially Private Neural Network Training Under the Hidden State Assumption

Ding Chen, Chen Liu, Haochen Luo +1

Current differentially private learning paradigms face a severe utility bottleneck: DP-SGD degrades performance through noise accumulation over training steps, while aggregation-ba…