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20232025
most citedRecent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey

52 citations · 53 across the 3 of their papers we have counts for

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cs.LG2025

Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD

Lea Demelius, Dominik Kowald, Simone Kopeinik +2

Differential privacy (DP) is a prominent method for protecting information about individuals during data analysis. Training neural networks with differentially private stochastic g…