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ORCIDYoussef Allouah
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2020 – today
- 2024
[c6]Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud:
Robust Sparse Voting. AISTATS 2024: 991-999- [c5]Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych:
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates. ICML 2024 - [c4]Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui:
The Privacy Power of Correlated Noise in Decentralized Learning. ICML 2024 - [i9]Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych:
Tackling Byzantine Clients in Federated Learning. CoRR abs/2402.12780 (2024) - [i8]Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui:
The Privacy Power of Correlated Noise in Decentralized Learning. CoRR abs/2405.01031 (2024) - [i7]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan:
Boosting Robustness by Clipping Gradients in Distributed Learning. CoRR abs/2405.14432 (2024) - [i6]Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot:
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients. CoRR abs/2409.20329 (2024) - 2023
- [c3]Youssef Allouah
, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. AISTATS 2023: 1232-1300 - [c2]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
On the Privacy-Robustness-Utility Trilemma in Distributed Learning. ICML 2023: 569-626 - [c1]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk:
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity. NeurIPS 2023 - [i5]Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. CoRR abs/2302.01772 (2023) - [i4]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Distributed Learning with Curious and Adversarial Machines. CoRR abs/2302.04787 (2023) - [i3]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Geovani Rizk:
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity. CoRR abs/2309.13591 (2023) - [i2]Youssef Allouah, Rachid Guerraoui, John Stephan:
Can Machines Learn Robustly, Privately, and Efficiently? CoRR abs/2312.14712 (2023) - 2022
- [i1]Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud:
Robust Sparse Voting. CoRR abs/2202.08656 (2022) - 2021
- [j1]Sammy Khalife, Douglas Soares Gonçalves, Youssef Allouah, Leo Liberti:
Further results on latent discourse models and word embeddings. J. Mach. Learn. Res. 22: 270:1-270:36 (2021)
Coauthor Index
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