Youssef Allouah

According to our database, Youssef Allouah authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning.

Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

CoRR, 2024

Boosting Robustness by Clipping Gradients in Distributed Learning.

Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan

CoRR, 2024

Tackling Byzantine Clients in Federated Learning.

Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych

CoRR, 2024

Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients.

Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Ensembling in One-Shot Federated Learning.

Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The Privacy Power of Correlated Noise in Decentralized Learning.

Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates.

Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Sparse Voting.

Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Can Machines Learn Robustly, Privately, and Efficiently?

Youssef Allouah, Rachid Guerraoui, John Stephan

CoRR, 2023

Distributed Learning with Curious and Adversarial Machines.

Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

CoRR, 2023

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity.

Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Privacy-Robustness-Utility Trilemma in Distributed Learning.

Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

Proceedings of the International Conference on Machine Learning, 2023

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity.

Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Further results on latent discourse models and word embeddings.

Sammy Khalife, Douglas Soares Gonçalves, Youssef Allouah, Leo Liberti

J. Mach. Learn. Res., 2021