Sébastien Rouault

According to our database, Sébastien Rouault authored at least 17 papers between 2017 and 2022.

Collaborative distances:

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

2022

Practical Byzantine-resilient Stochastic Gradient Descent.

Sébastien Rouault

PhD thesis, 2022

Genuinely distributed Byzantine machine learning.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault

Distributed Comput., 2022

2021

Combining Differential Privacy and Byzantine Resilience in Distributed SGD.

Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sébastien Rouault, John Stephan

CoRR, 2021

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments.

Lê-Nguyên Hoang, Louis Faucon, Aidan Jungo, Sergei Volodin, Dalia Papuc, Orfeas Liossatos, Ben Crulis, Mariame Tighanimine, Isabela Constantin, Anastasiia Kucherenko, Alexandre Maurer, Felix Grimberg, Vlad Nitu, Chris Vossen, Sébastien Rouault, El-Mahdi El-Mhamdi

CoRR, 2021

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?

Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan

Proceedings of the PODC '21: ACM Symposium on Principles of Distributed Computing, 2021

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning).

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent.

El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the 9th International Conference on Learning Representations, 2021

GARFIELD: System Support for Byzantine Machine Learning (Regular Paper).

Rachid Guerraoui, Arsany Guirguis, Jérémy Plassmann, Anton Ragot, Sébastien Rouault

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020

Garfield: System Support for Byzantine Machine Learning.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault

CoRR, 2020

Collaborative Learning as an Agreement Problem.

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault

CoRR, 2020

Distributed Momentum for Byzantine-resilient Learning.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault

CoRR, 2020

Fast and Robust Distributed Learning in High Dimension.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the International Symposium on Reliable Distributed Systems, 2020

AKSEL: Fast Byzantine SGD.

Amine Boussetta, El-Mahdi El-Mhamdi, Rachid Guerraoui, Alexandre Maurer, Sébastien Rouault

Proceedings of the 24th International Conference on Principles of Distributed Systems, 2020

2019

SGD: Decentralized Byzantine Resilience.

El Mahdi El Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault

CoRR, 2019

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation.

Georgios Damaskinos, El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault

Proceedings of Machine Learning and Systems 2019, 2019

2018

The Hidden Vulnerability of Distributed Learning in Byzantium.

El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

On the Robustness of a Neural Network.

El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017