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20182022
most citedSecureFedYJ: a safe feature Gaussianization protocol for Federated Learning

3 citations · 5 across the 2 of their papers we have counts for

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math.PR2020

Dimension-free convergence rates for gradient Langevin dynamics in RKHS

Boris Muzellec, Kanji Sato, Mathurin Massias +1

Gradient Langevin dynamics (GLD) and stochastic GLD (SGLD) have attracted considerable attention lately, as a way to provide convergence guarantees in a non-convex setting. However…