1 citations · 1 across the 3 of their papers we have counts for
3 papers
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
Andrei Semenov, Philip Zmushko, Alexander Pichugin +1
Vertical Federated Learning (VFL) aims to enable collaborative training of deep learning models while maintaining privacy protection. However, the VFL procedure still has component…
Method with Batching for Stochastic Finite-Sum Variational Inequalities in Non-Euclidean Setting
Alexander Pichugin, Maksim Pechin, Aleksandr Beznosikov +2
Variational inequalities are a universal optimization paradigm that incorporate classical minimization and saddle point problems. Nowadays more and more tasks require to consider s…
Optimal Analysis of Method with Batching for Monotone Stochastic Finite-Sum Variational Inequalities
Alexander Pichugin, Maksim Pechin, Aleksandr Beznosikov +1
Variational inequalities are a universal optimization paradigm that is interesting in itself, but also incorporates classical minimization and saddle point problems. Modern realiti…