Search Results - Burlachenko, Konstantin

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  1. 1
    Unlocking FedNL: Self-Contained Compute-Optimized Implementation

    Unlocking FedNL: Self-Contained Compute-Optimized Implementation by Burlachenko, Konstantin, Richtárik, Peter

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  2. 2
    FL_PyTorch: optimization research simulator for federated learning

    FL_PyTorch: optimization research simulator for federated learning by Burlachenko, Konstantin, Horváth, Samuel, Richtárik, Peter

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  3. 3
    Federated Learning is Better with Non-Homomorphic Encryption

    Federated Learning is Better with Non-Homomorphic Encryption by Burlachenko, Konstantin, Alrowithi, Abdulmajeed, Fahad Ali Albalawi, Richtarik, Peter

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  4. 4
    Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants

    Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants by Richtárik, Peter, Elnur Gasanov, Burlachenko, Konstantin

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  5. 5
    Error Feedback Shines when Features are Rare

    Error Feedback Shines when Features are Rare by Richtárik, Peter, Elnur Gasanov, Burlachenko, Konstantin

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  6. 6
    Federated Learning with Regularized Client Participation

    Federated Learning with Regularized Client Participation by Malinovsky, Grigory, Horváth, Samuel, Burlachenko, Konstantin, Richtárik, Peter

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  7. 7
    Personalized Federated Learning with Communication Compression

    Personalized Federated Learning with Communication Compression by Bergou, El Houcine, Burlachenko, Konstantin, Dutta, Aritra, Richtárik, Peter

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  8. 8
    PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression

    PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression by Malinovskii, Vladimir, Mazur, Denis, Ilin, Ivan, Kuznedelev, Denis, Burlachenko, Konstantin, Yi, Kai, Alistarh, Dan, Richtarik, Peter

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  9. 9
    Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling

    Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling by Tyurin, Alexander, Sun, Lukang, Burlachenko, Konstantin, Richtárik, Peter

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  10. 10
    Faster Rates for Compressed Federated Learning with Client-Variance Reduction

    Faster Rates for Compressed Federated Learning with Client-Variance Reduction by Zhao, Haoyu, Burlachenko, Konstantin, Li, Zhize, Richtárik, Peter

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  11. 11
    MARINA: Faster Non-Convex Distributed Learning with Compression

    MARINA: Faster Non-Convex Distributed Learning with Compression by Gorbunov, Eduard, Burlachenko, Konstantin, Li, Zhize, Richtárik, Peter

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  12. 12
    Federated Optimization Algorithms with Random Reshuffling and Gradient Compression

    Federated Optimization Algorithms with Random Reshuffling and Gradient Compression by Sadiev, Abdurakhmon, Malinovsky, Grigory, Gorbunov, Eduard, Sokolov, Igor, Ahmed, Khaled, Burlachenko, Konstantin, Richtárik, Peter

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