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Geovani Rizk
Geovani Rizk
Postdoctoral Researcher, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Randomization matters. How to defend against strong adversarial attacks
R Pinot, R Ettedgui, G Rizk, Y Chevaleyre, J Atif
ICML 2020, 2020
662020
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
Y Allouah, R Guerraoui, N Gupta, R Pinot, G Rizk
NeurIPS 2023, 2023
102023
Best Arm Identification in Graphical Bilinear Bandits
G Rizk, A Thomas, I Colin, R Laraki, Y Chevaleyre
ICML 2021, 2021
62021
Refined bounds for randomized experimental design
G Rizk, I Colin, A Thomas, M Draief
NeurIPS 2019 Workshop on Machine Learning with Guarantees, 2020
32020
Overcoming the Challenges of Batch Normalization in Federated Learning
R Guerraoui, R Pinot, G Rizk, J Stephan, F Taiani
arXiv preprint arXiv:2405.14670, 2024
12024
Boosting Robustness by Clipping Gradients in Distributed Learning
Y Allouah, R Guerraoui, N Gupta, A Jellouli, G Rizk, J Stephan
arXiv preprint arXiv:2405.14432, 2024
12024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
Y Allouah, S Farhadkhani, R GuerraouI, N Gupta, R Pinot, G Rizk, ...
ICML 2024, 2024
1*2024
Stochastic Graphical Bilinear Bandits
G Rizk
Université Paris sciences et lettres, 2022
2022
An -No-Regret Algorithm For Graphical Bilinear Bandits
G Rizk, I Colin, A Thomas, R Laraki, Y Chevaleyre
NeurIPS 2022, 2022
2022
DCL
Y Allouah, K Antoniadis, OM Balmau, R Banabic, PF Blanchard, R Boichat, ...
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Articles 1–10