John Stephan

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 17

Top Topics

Distributed Learning

Top Venues

Publications

Rachid Guerraoui, Rafael Pinot, Geovani Rizk, John Stephan, François Taïani
Overcoming the Challenges of Batch Normalization in Federated Learning. CoRR (2024)
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan
Boosting Robustness by Clipping Gradients in Distributed Learning. CoRR (2024)
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. AISTATS (2023)
Youssef Allouah, Rachid Guerraoui, John Stephan
Can Machines Learn Robustly, Privately, and Efficiently? CoRR (2023)
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. CoRR (2023)
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
On the Privacy-Robustness-Utility Trilemma in Distributed Learning. ICML (2023)
Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber
Practical Homomorphic Aggregation for Byzantine ML. CoRR (2023)
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan
Robust Collaborative Learning with Linear Gradient Overhead. ICML (2023)
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Distributed Learning with Curious and Adversarial Machines. CoRR (2023)
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan
SoK: On the Impossible Security of Very Large Foundation Models. CoRR (2022)
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan
Making Byzantine Decentralized Learning Efficient. CoRR (2022)
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums. ICML (2022)
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums. CoRR (2022)
Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? PODC (2021)
Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? CoRR (2021)
Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sebastien Rouault, John Stephan
Combining Differential Privacy and Byzantine Resilience in Distributed SGD. CoRR (2021)
Anh Pham, Italo Dacosta, Eleonora Losiouk, John Stephan, Kévin Huguenin, Jean-Pierre Hubaux
HideMyApp: Hiding the Presence of Sensitive Apps on Android. USENIX Security Symposium (2019)
John Stephan, Johann Peter Murmann, Warren Boeker, Jerry Goodstein
Bringing Managers into Theories of Multimarket Competition: CEOs and the Determinants of Market Entry. Organ. Sci. 14 (4) (2003)