Super-convergence and Differential Privacy: Training faster with better privacy guarantees. - Osvald Frisk; Friedrich Dörmann; Christian Marius Lillelund; Christian Fischer Pedersen (CISS, 2021)

Not All Noise is Accounted Equally: How Differentially Private Learning Benefits from Large Sampling Rates. - Friedrich Dörmann; Osvald Frisk; Lars Nørvang Andersen; Christian Fischer Pedersen (MLSP, 2021)