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John Stephan
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2020 – today
- 2024
- [c7]Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber:
Towards Practical Homomorphic Aggregation in Byzantine-Resilient Distributed Learning. Middleware 2024: 431-444 - [i11]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan:
Boosting Robustness by Clipping Gradients in Distributed Learning. CoRR abs/2405.14432 (2024) - [i10]Rachid Guerraoui, Rafael Pinot, Geovani Rizk, John Stephan, François Taïani:
Overcoming the Challenges of Batch Normalization in Federated Learning. CoRR abs/2405.14670 (2024) - 2023
- [c6]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: 1232-1300 - [c5]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
On the Privacy-Robustness-Utility Trilemma in Distributed Learning. ICML 2023: 569-626 - [c4]Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan:
Robust Collaborative Learning with Linear Gradient Overhead. ICML 2023: 9761-9813 - [i9]Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. CoRR abs/2302.01772 (2023) - [i8]Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Distributed Learning with Curious and Adversarial Machines. CoRR abs/2302.04787 (2023) - [i7]Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber:
Practical Homomorphic Aggregation for Byzantine ML. CoRR abs/2309.05395 (2023) - [i6]Youssef Allouah, Rachid Guerraoui, John Stephan:
Can Machines Learn Robustly, Privately, and Efficiently? CoRR abs/2312.14712 (2023) - 2022
- [c3]Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums. ICML 2022: 6246-6283 - [i5]Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums. CoRR abs/2205.12173 (2022) - [i4]Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan:
Making Byzantine Decentralized Learning Efficient. CoRR abs/2209.10931 (2022) - [i3]El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan:
On the Impossible Safety of Large AI Models. CoRR abs/2209.15259 (2022) - 2021
- [c2]Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan:
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? PODC 2021: 391-401 - [i2]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) - [i1]Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sébastien Rouault, John Stephan:
Combining Differential Privacy and Byzantine Resilience in Distributed SGD. CoRR abs/2110.03991 (2021)
2010 – 2019
- 2019
- [c1]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: 711-728
2000 – 2009
- 2003
- [j1]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): 403-421 (2003)
Coauthor Index
aka: Rafaël Pinot
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