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Sébastien Rouault
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- affiliation (PhD): EPFL, Distributed Computing Laboratory, Lausanne, Switzerland
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2020 – today
- 2022
- [b1]Sébastien Rouault:
Practical Byzantine-resilient Stochastic Gradient Descent. EPFL, Switzerland, 2022 - [j1]El-Mahdi El-Mhamdi, Rachid Guerraoui
, Arsany Guirguis
Genuinely distributed Byzantine machine learning. Distributed Comput. 35(4): 305-331 (2022) - 2021
- [c10]Rachid Guerraoui
GARFIELD: System Support for Byzantine Machine Learning (Regular Paper). DSN 2021: 39-51 - [c9]El Mahdi El Mhamdi, Rachid Guerraoui
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent. ICLR 2021 - [c8]El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning). NeurIPS 2021: 25044-25057 - [c7]Rachid Guerraoui
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? PODC 2021: 391-401 - [i9]Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan:
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? CoRR abs/2102.08166 (2021) - [i8]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:
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments. CoRR abs/2107.07334 (2021) - [i7]Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sébastien Rouault, John Stephan:
Combining Differential Privacy and Byzantine Resilience in Distributed SGD. CoRR abs/2110.03991 (2021) - 2020
- [c6]Amine Boussetta, El-Mahdi El-Mhamdi
AKSEL: Fast Byzantine SGD. OPODIS 2020: 8:1-8:16 - [c5]El-Mahdi El-Mhamdi
Genuinely Distributed Byzantine Machine Learning. PODC 2020: 355-364 - [c4]El-Mahdi El-Mhamdi
Fast and Robust Distributed Learning in High Dimension. SRDS 2020: 71-80 - [i6]El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Distributed Momentum for Byzantine-resilient Learning. CoRR abs/2003.00010 (2020) - [i5]El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault:
Collaborative Learning as an Agreement Problem. CoRR abs/2008.00742 (2020) - [i4]El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault:
Garfield: System Support for Byzantine Machine Learning. CoRR abs/2010.05888 (2020)
2010 – 2019
- 2019
- [c3]Georgios Damaskinos, El-Mahdi El-Mhamdi, Rachid Guerraoui
AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation. SysML 2019 - [i3]El Mahdi El Mhamdi
SGD: Decentralized Byzantine Resilience. CoRR abs/1905.03853 (2019) - 2018
- [c2]El Mahdi El Mhamdi, Rachid Guerraoui
The Hidden Vulnerability of Distributed Learning in Byzantium. ICML 2018: 3518-3527 - [i2]El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
The Hidden Vulnerability of Distributed Learning in Byzantium. CoRR abs/1802.07927 (2018) - 2017
- [c1]El Mahdi El Mhamdi
On the Robustness of a Neural Network. SRDS 2017: 84-93 - [i1]El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
On The Robustness of a Neural Network. CoRR abs/1707.08167 (2017)
Coauthor Index
aka: El-Mahdi El-Mhamdi
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