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Filip Hanzely

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Personalized Federated Learning with Multiple Known Clusters

Apr 28, 2022
Boxiang Lyu, Filip Hanzely, Mladen Kolar

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A Field Guide to Federated Optimization

Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu

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Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques

Feb 19, 2021
Filip Hanzely, Boxin Zhao, Mladen Kolar

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Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization

Feb 14, 2021
Mher Safaryan, Filip Hanzely, Peter Richtárik

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Local SGD: Unified Theory and New Efficient Methods

Nov 03, 2020
Eduard Gorbunov, Filip Hanzely, Peter Richtárik

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Lower Bounds and Optimal Algorithms for Personalized Federated Learning

Oct 05, 2020
Filip Hanzely, Slavomír Hanzely, Samuel Horváth, Peter Richtárik

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Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters

Aug 26, 2020
Filip Hanzely

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Stochastic Subspace Cubic Newton Method

Feb 21, 2020
Filip Hanzely, Nikita Doikov, Peter Richtárik, Yurii Nesterov

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Federated Learning of a Mixture of Global and Local Models

Feb 14, 2020
Filip Hanzely, Peter Richtárik

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Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems

Feb 11, 2020
Filip Hanzely, Dmitry Kovalev, Peter Richtarik

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