Part of the Artificial Intelligence and Robotics Commons
2023
Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes, Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Saveliy Chezhegov, Rachael Tappenden, Martin Takac, Alexander Gasnikov
Martin Takac
2022
Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes, Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Saveliy Chezhegov, Rachael Tappenden, Martin Takac, Alexander Gasnikov
Machine Learning Faculty Publications
On Scaled Methods for Saddle Point Problems, Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takac, Alexander Gasnikov
Martin Takac
Stochastic Gradient Methods with Preconditioned Updates, Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takac
Martin Takac
Stochastic Gradient Methods with Preconditioned Updates, Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takac
Machine Learning Faculty Publications
On Scaled Methods for Saddle Point Problems, Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takac, Alexander Gasnikov
Machine Learning Faculty Publications
