El Mahdi El Mhamdi

According to our database, El Mahdi El Mhamdi authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Incentivized Learning in Principal-Agent Bandit Games.

Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El Mahdi El Mhamdi, Eric Moulines, Michael I. Jordan, Alain Durmus

CoRR, 2024

2023

On the Strategyproofness of the Geometric Median.

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Removing algorithmic discrimination (with minimal individual error).

El-Mahdi El-Mhamdi, Rachid Guerraoui, Lê-Nguyên Hoang, Alexandre Maurer

Theor. Comput. Sci., 2022

Genuinely distributed Byzantine machine learning.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault

Distributed Comput., 2022

On the Impossible Safety of Large AI Models.

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan

CoRR, 2022

2021

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments.

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

CoRR, 2021

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning).

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent.

El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Robust Distributed Learning.

El Mahdi El Mhamdi

PhD thesis, 2020

Garfield: System Support for Byzantine Machine Learning.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault

CoRR, 2020

Collaborative Learning as an Agreement Problem.

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault

CoRR, 2020

Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training.

Andrei Kucharavy, El Mahdi El Mhamdi, Rachid Guerraoui

CoRR, 2020

Distributed Momentum for Byzantine-resilient Learning.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault

CoRR, 2020

Fast and Robust Distributed Learning in High Dimension.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the International Symposium on Reliable Distributed Systems, 2020

AKSEL: Fast Byzantine SGD.

Amine Boussetta, El-Mahdi El-Mhamdi, Rachid Guerraoui, Alexandre Maurer, Sébastien Rouault

Proceedings of the 24th International Conference on Principles of Distributed Systems, 2020

2019

Exploring the Borderlands of the Gathering Problem.

El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer, Vladislav Tempez

Bull. EATCS, 2019

Fast and Secure Distributed Learning in High Dimension.

El-Mahdi El-Mhamdi, Rachid Guerraoui

CoRR, 2019

SGD: Decentralized Byzantine Resilience.

El Mahdi El Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault

CoRR, 2019

Fatal Brain Damage.

El Mahdi El Mhamdi, Rachid Guerraoui, Sergei Volodin

CoRR, 2019

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation.

Georgios Damaskinos, El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault

Proceedings of Machine Learning and Systems 2019, 2019

2018

Virtuously Safe Reinforcement Learning.

C. Henrik Åslund, El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer

CoRR, 2018

Asynchronous Byzantine Machine Learning.

Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki

CoRR, 2018

Learning to Gather without Communication.

El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer, Vladislav Tempez

CoRR, 2018

The Hidden Vulnerability of Distributed Learning in Byzantium.

El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Byzantine Machine Learning (the case of SGD).

Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Can AIs learn to avoid human interruption?

El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer

CoRR, 2017

Byzantine-Tolerant Machine Learning.

Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer

CoRR, 2017

On the Robustness of a Neural Network.

El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

Brief Announcement: Byzantine-Tolerant Machine Learning.

Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer

Proceedings of the ACM Symposium on Principles of Distributed Computing, 2017

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning.

El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent.

Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

When Neurons Fail.

El Mahdi El Mhamdi, Rachid Guerraoui

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017