Anastasia Koloskova
École Polytechnique Fédérale de Lausanne
H-index: 11
Europe-Switzerland
Top articles of Anastasia Koloskova
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning | Anastasiia Koloskova | 2024 | |
Decentralized gradient tracking with local steps | Optimization Methods and Software | Yue Liu Tao Lin Anastasia Koloskova Sebastian U Stich | 2024/3/12 |
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy | Advances in Neural Information Processing Systems | Anastasiia Koloskova Ryan McKenna Zachary Charles John Rush H Brendan McMahan | 2023/12/15 |
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization | AISTATS 2024 | Mathieu Even Anastasia Koloskova Laurent Massoulié | 2023/11/1 |
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees | ICML 2023 | Anastasia Koloskova* Hadrien Hendrikx* Sebastian U Stich | 2023/5/2 |
Sharper convergence guarantees for asynchronous sgd for distributed and federated learning | Anastasia Koloskova Sebastian U Stich Martin Jaggi | 2022/6/16 | |
Data-heterogeneity-aware mixing for decentralized learning | arXiv preprint arXiv:2204.06477 | Yatin Dandi Anastasia Koloskova Martin Jaggi Sebastian U Stich | 2022/4/13 |
Decentralized local stochastic extra-gradient for variational inequalities | Aleksandr Beznosikov Pavel Dvurechensky Anastasia Koloskova Valentin Samokhin Sebastian U Stich | 2022/11/28 | |
Decentralized stochastic optimization with client sampling | Ziwei Liu Anastasia Koloskova Martin Jaggi Tao Lin | 2022 | |
Consensus control for decentralized deep learning | Lingjing Kong Tao Lin Anastasia Koloskova Martin Jaggi Sebastian U Stich | 2021/6 | |
An improved analysis of gradient tracking for decentralized machine learning | NeurIPS 2021 - Advances in Neural Information Processing Systems | Anastasiia Koloskova Tao Lin Sebastian U Stich | 2021/12/6 |
Relaysum for decentralized deep learning on heterogeneous data | Advances in Neural Information Processing Systems | Thijs Vogels Lie He Anastasiia Koloskova Sai Praneeth Karimireddy Tao Lin | 2021/12/6 |
A linearly convergent algorithm for decentralized optimization: Sending less bits for free! | Dmitry Kovalev Anastasia Koloskova Martin Jaggi Peter Richtarik Sebastian U Stich | 2021/3 | |
A unified theory of decentralized sgd with changing topology and local updates | Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U Stich | 2020/6 |
Co-Authors
