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ORCIDEl Mahdi El Mhamdi
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2020 – today
- 2024
[c15]Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus:
Incentivized Learning in Principal-Agent Bandit Games. ICML 2024- [i21]Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El Mahdi El Mhamdi, Eric Moulines, Michael I. Jordan, Alain Durmus:
Incentivized Learning in Principal-Agent Bandit Games. CoRR abs/2403.03811 (2024) - [i20]Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus:
Unravelling in Collaborative Learning. CoRR abs/2407.14332 (2024) - 2023
- [c14]El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang:
On the Strategyproofness of the Geometric Median. AISTATS 2023: 2603-2640 - 2022
- [j3]El-Mahdi El-Mhamdi, Rachid Guerraoui
, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault:
Genuinely distributed Byzantine machine learning. Distributed Comput. 35(4): 305-331 (2022) - [j2]El-Mahdi El-Mhamdi, Rachid Guerraoui, Lê-Nguyên Hoang, Alexandre Maurer:
Removing algorithmic discrimination (with minimal individual error). Theor. Comput. Sci. 923: 47-55 (2022) - [i19]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
- [c13]El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent. ICLR 2021 - [c12]El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault:
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning). NeurIPS 2021: 25044-25057 - [i18]El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang:
On the Strategyproofness of the Geometric Median. CoRR abs/2106.02394 (2021) - [i17]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) - 2020
- [b1]El Mahdi El Mhamdi:
Robust Distributed Learning. EPFL, Switzerland, 2020 - [c11]Amine Boussetta, El-Mahdi El-Mhamdi, Rachid Guerraoui, Alexandre Maurer, Sébastien Rouault:
AKSEL: Fast Byzantine SGD. OPODIS 2020: 8:1-8:16 - [c10]El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault:
Genuinely Distributed Byzantine Machine Learning. PODC 2020: 355-364 - [c9]El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Fast and Robust Distributed Learning in High Dimension. SRDS 2020: 71-80 - [i16]El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Distributed Momentum for Byzantine-resilient Learning. CoRR abs/2003.00010 (2020) - [i15]Andrei Kucharavy, El Mahdi El Mhamdi, Rachid Guerraoui:
Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training. CoRR abs/2006.04720 (2020) - [i14]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) - [i13]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
- [j1]El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer, Vladislav Tempez:
Exploring the Borderlands of the Gathering Problem. Bull. EATCS 129 (2019) - [c8]Georgios Damaskinos, El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault:
AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation. SysML 2019 - [i12]El Mahdi El Mhamdi, Rachid Guerraoui, Sergei Volodin:
Fatal Brain Damage. CoRR abs/1902.01686 (2019) - [i11]El Mahdi El Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault:
SGD: Decentralized Byzantine Resilience. CoRR abs/1905.03853 (2019) - [i10]El-Mahdi El-Mhamdi, Rachid Guerraoui:
Fast and Secure Distributed Learning in High Dimension. CoRR abs/1905.04374 (2019) - 2018
- [c7]Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki:
Asynchronous Byzantine Machine Learning (the case of SGD). ICML 2018: 1153-1162 - [c6]El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
The Hidden Vulnerability of Distributed Learning in Byzantium. ICML 2018: 3518-3527 - [i9]El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer, Vladislav Tempez:
Learning to Gather without Communication. CoRR abs/1802.07834 (2018) - [i8]El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
The Hidden Vulnerability of Distributed Learning in Byzantium. CoRR abs/1802.07927 (2018) - [i7]Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki:
Asynchronous Byzantine Machine Learning. CoRR abs/1802.07928 (2018) - [i6]C. Henrik Åslund, El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer:
Virtuously Safe Reinforcement Learning. CoRR abs/1805.11447 (2018) - [i5]El Mahdi El Mhamdi, Rachid Guerraoui, Lê Nguyên Hoang, Alexandre Maurer:
Removing Algorithmic Discrimination (With Minimal Individual Error). CoRR abs/1806.02510 (2018) - 2017
- [c5]El Mahdi El Mhamdi, Rachid Guerraoui:
When Neurons Fail. IPDPS 2017: 1028-1037 - [c4]Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer:
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent. NIPS 2017: 119-129 - [c3]El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer:
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning. NIPS 2017: 130-140 - [c2]Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer:
Brief Announcement: Byzantine-Tolerant Machine Learning. PODC 2017: 455-457 - [c1]El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
On the Robustness of a Neural Network. SRDS 2017: 84-93 - [i4]Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer:
Byzantine-Tolerant Machine Learning. CoRR abs/1703.02757 (2017) - [i3]El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer:
Can AIs learn to avoid human interruption? CoRR abs/1704.02882 (2017) - [i2]El Mahdi El Mhamdi, Rachid Guerraoui:
When Neurons Fail. CoRR abs/1706.08884 (2017) - [i1]El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
On The Robustness of a Neural Network. CoRR abs/1707.08167 (2017)
Coauthor Index
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