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John Stephan
John Stephan
PhD Student, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Byzantine machine learning made easy by resilient averaging of momentums
S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan
International Conference on Machine Learning, 6246-6283, 2022
602022
Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity
Y Allouah, S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan
International Conference on Artificial Intelligence and Statistics, 1232-1300, 2023
432023
Differential privacy and byzantine resilience in SGD: Do they add up?
R Guerraoui, N Gupta, R Pinot, S Rouault, J Stephan
Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing …, 2021
282021
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
Y Allouah, R Guerraoui, N Gupta, R Pinot, J Stephan
International Conference on Machine Learning 202, 2023
222023
On the Impossible Safety of Large AI Models
EM El-Mhamdi, S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, ...
arXiv preprint arXiv:2209.15259, 2022
20*2022
{HideMyApp}: Hiding the presence of sensitive apps on android
A Pham, I Dacosta, E Losiouk, J Stephan, K Huguenin, JP Hubaux
28th usenix security symposium (usenix security 19), 711-728, 2019
18*2019
Robust Collaborative Learning with Linear Gradient Overhead
S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, J Stephan
ICML '23, 2023
132023
SABLE: Secure And Byzantine robust LEarning
A Choffrut, R Guerraoui, R Pinot, R Sirdey, J Stephan, M Zuber
arXiv preprint arXiv:2309.05395, 2023
3*2023
Overcoming the Challenges of Batch Normalization in Federated Learning
R Guerraoui, R Pinot, G Rizk, J Stephan, F Taiani
arXiv preprint arXiv:2405.14670, 2024
12024
Boosting Robustness by Clipping Gradients in Distributed Learning
Y Allouah, R Guerraoui, N Gupta, A Jellouli, G Rizk, J Stephan
arXiv preprint arXiv:2405.14432, 2024
12024
Can Machines Learn Robustly, Privately, and Efficiently?
Y Allouah, R Guerraoui, J Stephan
arXiv preprint arXiv:2312.14712, 2023
12023
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