Sébastien Rouault

Affiliations:
  • EPFL, Distributed Computing Laboratory, Lausanne, Switzerland (PhD)


According to our database1, Sébastien Rouault authored at least 17 papers between 2017 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Practical Byzantine-resilient Stochastic Gradient Descent.
PhD thesis, 2022

Genuinely distributed Byzantine machine learning.
Distributed Comput., 2022

2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD.
CoRR, 2021

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments.
CoRR, 2021

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
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).
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

GARFIELD: System Support for Byzantine Machine Learning (Regular Paper).
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020
Garfield: System Support for Byzantine Machine Learning.
CoRR, 2020

Collaborative Learning as an Agreement Problem.
CoRR, 2020

Distributed Momentum for Byzantine-resilient Learning.
CoRR, 2020

Fast and Robust Distributed Learning in High Dimension.
Proceedings of the International Symposium on Reliable Distributed Systems, 2020

AKSEL: Fast Byzantine SGD.
Proceedings of the 24th International Conference on Principles of Distributed Systems, 2020

2019
SGD: Decentralized Byzantine Resilience.
CoRR, 2019

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

2018
The Hidden Vulnerability of Distributed Learning in Byzantium.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
On the Robustness of a Neural Network.
Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017


  Loading...