Resultats de la cerca - Hanzely, Filip

Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters per Hanzely, Filip

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One Method to Rule Them All: Variance Reduction for Data, Parameters and Many New Methods per Hanzely, Filip, Richtárik, Peter

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Federated Learning of a Mixture of Global and Local Models per Hanzely, Filip, Richtárik, Peter

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A Nonconvex Projection Method for Robust PCA per Dutta, Aritra, Hanzely, Filip, Richtárik, Peter

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A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent per Gorbunov, Eduard, Hanzely, Filip, Richtárik, Peter

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Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems per Hanzely, Filip, Kovalev, Dmitry, Richtarik, Peter

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Local SGD: Unified Theory and New Efficient Methods per Gorbunov, Eduard, Hanzely, Filip, Richtárik, Peter

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Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization per Safaryan, Mher, Hanzely, Filip, Richtárik, Peter

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Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques per Hanzely, Filip, Zhao, Boxin, Kolar, Mladen

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Personalized Federated Learning with Multiple Known Clusters per Lyu, Boxiang, Hanzely, Filip, Kolar, Mladen

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Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit per Dutta, Aritra, Hanzely, Filip, Liang, Jingwei, Richtárik, Peter

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Stochastic Subspace Cubic Newton Method per Hanzely, Filip, Doikov, Nikita, Richtárik, Peter, Nesterov, Yurii

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Lower Bounds and Optimal Algorithms for Personalized Federated Learning per Hanzely, Filip, Hanzely, Slavomír, Horváth, Samuel, Richtárik, Peter

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Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization per Gower, Robert M., Hanzely, Filip, Richtárik, Peter, Stich, Sebastian

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A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion per Hanzely, Filip, Konečný, Jakub, Loizou, Nicolas, Richtárik, Peter, Grishchenko, Dmitry

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A Field Guide to Federated Optimization per Wang, Jianyu, Charles, Zachary, Xu, Zheng, Joshi, Gauri, McMahan, H. Brendan, Arcas, Blaise Aguera y, Al-Shedivat, Maruan, Andrew, Galen, Avestimehr, Salman, Daly, Katharine, Data, Deepesh, Diggavi, Suhas, Eichner, Hubert, Gadhikar, Advait, Garrett, Zachary, Girgis, Antonious M., Hanzely, Filip, Hard, Andrew, He, Chaoyang, Horvath, Samuel, Huo, Zhouyuan, Ingerman, Alex, Jaggi, Martin, Javidi, Tara, Kairouz, Peter, Kale, Satyen, Karimireddy, Sai Praneeth, Konecny, Jakub, Koyejo, Sanmi, Li, Tian, Liu, Luyang, Mohri, Mehryar, Qi, Hang, Reddi, Sashank J., Richtarik, Peter, Singhal, Karan, Smith, Virginia, Soltanolkotabi, Mahdi, Song, Weikang, Suresh, Ananda Theertha, Stich, Sebastian U., Talwalkar, Ameet, Wang, Hongyi, Woodworth, Blake, Wu, Shanshan, Yu, Felix X., Yuan, Honglin, Zaheer, Manzil, Zhang, Mi, Zhang, Tong, Zheng, Chunxiang, Zhu, Chen, Zhu, Wennan

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