35 citations · 88 across the 18 of their papers we have counts for
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cs.LG2024★ 1 cited
On the Convergence of DP-SGD with Adaptive Clipping
Egor Shulgin, Peter Richtárik
Stochastic Gradient Descent (SGD) with gradient clipping is a powerful technique for enabling differentially private optimization. Although prior works extensively investigated cli…
math.OC2024★ 1 cited
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning
Avetik Karagulyan, Egor Shulgin, Abdurakhmon Sadiev +1
Cross-device training is a crucial subfield of federated learning, where the number of clients can reach into the billions. Standard approaches and local methods are prone to issue…