Dmitry Kamzolov

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20222024

most citedSuppressing Poisoning Attacks on Federated Learning for Medical Imaging

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

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math.OC2023

Cubic Regularization is the Key! The First Accelerated Quasi-Newton Method with a Global Convergence Rate of $O (k^{- 2})$ for Convex Functions

Dmitry Kamzolov, Klea Ziu, Artem Agafonov +1

In this paper, we propose the first Quasi-Newton method with a global convergence rate of $O (k^{- 1})$ for general convex functions. Quasi-Newton methods, such as BFGS, SR-1, are we…

Cubic Regularization is the Key! The First Accelerated Quasi-Newton Method with a Global Convergence Rate of O(k−2) for Convex Functions

Cubic Regularization is the Key! The First Accelerated Quasi-Newton Method with a Global Convergence Rate of $O (k^{- 2})$ for Convex Functions