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Samuel Horvath

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Rethink Model Re-Basin and the Linear Mode Connectivity

Feb 05, 2024
Xingyu Qu, Samuel Horvath

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Efficient Conformal Prediction under Data Heterogeneity

Dec 25, 2023
Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horvath, Martin Takac, Eric Moulines, Maxim Panov

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Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition

Oct 23, 2023
Sara Pieri, Jose Renato Restom, Samuel Horvath, Hisham Cholakkal

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Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

Aug 28, 2023
Samuel Horvath, Stefanos Laskaridis, Shashank Rajput, Hongyi Wang

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Improving Performance of Private Federated Models in Medical Image Analysis

Apr 11, 2023
Xiangjian Hou, Sarit Khirirat, Mohammad Yaqub, Samuel Horvath

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Granger Causality using Neural Networks

Aug 07, 2022
Samuel Horvath, Malik Shahid Sultan, Hernando Ombao

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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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FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

Mar 01, 2021
Samuel Horvath, Stefanos Laskaridis, Mario Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane

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Optimal Client Sampling for Federated Learning

Oct 26, 2020
Wenlin Chen, Samuel Horvath, Peter Richtarik

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