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Martin Jaggi

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EPFL

Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods

Feb 03, 2022
Amirkeivan Mohtashami, Sebastian Stich, Martin Jaggi

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Byzantine-Robust Decentralized Learning via Self-Centered Clipping

Feb 03, 2022
Lie He, Sai Praneeth Karimireddy, Martin Jaggi

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Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation

Dec 16, 2021
Futong Liu, Tao Lin, Martin Jaggi

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Interpreting Language Models Through Knowledge Graph Extraction

Nov 16, 2021
Vinitra Swamy, Angelika Romanou, Martin Jaggi

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Linear Speedup in Personalized Collaborative Learning

Nov 10, 2021
El Mahdi Chayti, Sai Praneeth Karimireddy, Sebastian U. Stich, Nicolas Flammarion, Martin Jaggi

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Optimal Model Averaging: Towards Personalized Collaborative Learning

Oct 25, 2021
Felix Grimberg, Mary-Anne Hartley, Sai P. Karimireddy, Martin Jaggi

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WAFFLE: Weighted Averaging for Personalized Federated Learning

Oct 13, 2021
Martin Beaussart, Felix Grimberg, Mary-Anne Hartley, Martin Jaggi

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RelaySum for Decentralized Deep Learning on Heterogeneous Data

Oct 08, 2021
Thijs Vogels, Lie He, Anastasia Koloskova, Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi

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On Second-order Optimization Methods for Federated Learning

Sep 06, 2021
Sebastian Bischoff, Stephan Günnemann, Martin Jaggi, Sebastian U. Stich

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Semantic Perturbations with Normalizing Flows for Improved Generalization

Aug 18, 2021
Oguz Kaan Yuksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova

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