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most citedUniversally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence

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cs.CR2025

PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization

Qin Yang, Nicholas Stout, Meisam Mohammady +6

Differentially Private Stochastic Gradient Descent (DP-SGD) is a standard method for enforcing privacy in deep learning, typically using the Gaussian mechanism to perturb gradient…