Partial Disentanglement with Partially-Federated GANs (PaDPaF)

no code implementations • 7 Dec 2022 • Abdulla Jasem Almansoori, Samuel Horváth, Martin Takáč

Federated learning has become a popular machine learning paradigm with many potential real-life applications, including recommendation systems, the Internet of Things (IoT), healthcare, and self-driving cars.

Disentanglement Federated Learning +2

Stochastic Gradient Methods with Preconditioned Updates

no code implementations • 1 Jun 2022 • Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takáč

There are several algorithms for such problems, but existing methods often work poorly when the problem is badly scaled and/or ill-conditioned, and a primary goal of this work is to introduce methods that alleviate this issue.