Koloskova, Anastasiia

5 publications

NeurIPS 2023 Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasiia Koloskova, Ryan McKenna, Zachary Charles, John Rush, H. Brendan McMahan

NeurIPS 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities Aleksandr Beznosikov, Pavel Dvurechenskii, Anastasiia Koloskova, Valentin Samokhin, Sebastian U Stich, Alexander Gasnikov

NeurIPS 2022 Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning Anastasiia Koloskova, Sebastian U Stich, Martin Jaggi

NeurIPS 2021 An Improved Analysis of Gradient Tracking for Decentralized Machine Learning Anastasiia Koloskova, Tao Lin, Sebastian U Stich

NeurIPS 2021 RelaySum for Decentralized Deep Learning on Heterogeneous Data Thijs Vogels, Lie He, Anastasiia Koloskova, Sai Praneeth Karimireddy, Tao Lin, Sebastian U Stich, Martin Jaggi