70 citations · 72 across the 7 of their papers we have counts for
3 papers · 1 filter
Decentralized Personalized Federated Learning for Min-Max Problems
Ekaterina Borodich, Aleksandr Beznosikov, Abdurakhmon Sadiev +4
Personalized Federated Learning (PFL) has witnessed remarkable advancements, enabling the development of innovative machine learning applications that preserve the privacy of train…
Learning to Generate Novel Scene Compositions from Single Images and Videos
Vadim Sushko, Juergen Gall, Anna Khoreva
Training GANs in low-data regimes remains a challenge, as overfitting often leads to memorization or training divergence. In this work, we introduce One-Shot GAN that can learn to…
Generating Novel Scene Compositions from Single Images and Videos
Vadim Sushko, Dan Zhang, Juergen Gall +1
Given a large dataset for training, generative adversarial networks (GANs) can achieve remarkable performance for the image synthesis task. However, training GANs in extremely low…