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Optimal Client Sampling for Federated Learning
Samuel Horváth
Author Information
Samuel Horváth (King Abdullah University of Science and Technology)
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2021 Spotlight: FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout »
Samuel Horváth · Stefanos Laskaridis · Mario Almeida · Ilias Leontiadis · Stylianos Venieris · Nicholas Lane -
2021 : FedMix: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning »
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2021 : FedMix: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning »
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2021 Poster: FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout »
Samuel Horváth · Stefanos Laskaridis · Mario Almeida · Ilias Leontiadis · Stylianos Venieris · Nicholas Lane -
2020 : Contributed talks in Session 2 (Zoom) »
Martin Takac · Samuel Horváth · Guan-Horng Liu · Nicolas Loizou · Sharan Vaswani -
2020 : Contributed Video: Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization, Samuel Horvath »
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2020 : Poster Session 1 (gather.town) »
Laurent Condat · Tiffany Vlaar · Ohad Shamir · Mohammadi Zaki · Zhize Li · Guan-Horng Liu · Samuel Horváth · Mher Safaryan · Yoni Choukroun · Kumar Shridhar · Nabil Kahale · Jikai Jin · Pratik Kumar Jawanpuria · Gaurav Kumar Yadav · Kazuki Koyama · Junyoung Kim · Xiao Li · Saugata Purkayastha · Adil Salim · Dighanchal Banerjee · Peter Richtarik · Lakshman Mahto · Tian Ye · Bamdev Mishra · Huikang Liu · Jiajie Zhu -
2020 Poster: Lower Bounds and Optimal Algorithms for Personalized Federated Learning »
Filip Hanzely · Slavomír Hanzely · Samuel Horváth · Peter Richtarik