Decentralized gradient tracking with local steps
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Published in Optimization methods & software (14.03.2024)
Published in Optimization methods & software (14.03.2024)
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On Convergence of Incremental Gradient for Non-Convex Smooth Functions
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Year of Publication 30.05.2023
Year of Publication 30.05.2023
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Journal Article
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
Koloskova, Anastasia, McKenna, Ryan, Charles, Zachary, Rush, Keith, McMahan, Brendan
Year of Publication 02.02.2023
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The Privacy Power of Correlated Noise in Decentralized Learning
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Year of Publication 02.05.2024
Year of Publication 02.05.2024
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Data-heterogeneity-aware Mixing for Decentralized Learning
Dandi, Yatin, Koloskova, Anastasia, Jaggi, Martin, Stich, Sebastian U
Year of Publication 13.04.2022
Year of Publication 13.04.2022
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Journal Article
On Convergence of Incremental Gradient for Non-Convex Smooth Functions
Koloskova, Anastasia, Doikov, Nikita, Stich, Sebastian U, Jaggi, Martin
Published in arXiv.org (12.02.2024)
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Published in arXiv.org (12.02.2024)
Paper
RelaySum for Decentralized Deep Learning on Heterogeneous Data
Vogels, Thijs, He, Lie, Koloskova, Anastasia, Lin, Tao, Karimireddy, Sai Praneeth, Stich, Sebastian U, Jaggi, Martin
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Year of Publication 08.10.2021
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Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Beznosikov, Aleksandr, Dvurechensky, Pavel, Koloskova, Anastasia, Samokhin, Valentin, Stich, Sebastian U, Gasnikov, Alexander
Year of Publication 15.06.2021
Year of Publication 15.06.2021
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Journal Article