Guerraoui, Rachid

27 publications

ICLR 2025 Adaptive Gradient Clipping for Robust Federated Learning Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan

ICML 2025 Certified Unlearning for Neural Networks Anastasia Koloskova, Youssef Allouah, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo

ICLR 2025 The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

ICML 2025 Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah, Rachid Guerraoui, John Stephan

ICML 2024 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych

ICMLW 2024 Fast Machine Unlearning via Robust Training Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

NeurIPS 2024 Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot

NeurIPS 2024 Revisiting Ensembling in One-Shot Federated Learning Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma

AISTATS 2024 Robust Sparse Voting Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud

ICML 2024 The Privacy Power of Correlated Noise in Decentralized Learning Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui

NeurIPS 2023 Epidemic Learning: Boosting Decentralized Learning with Randomized Communication Martijn De Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-marie Kermarrec, Rafael Pires, Rishi Sharma

AISTATS 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML Under Heterogeneity Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

ICML 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

AISTATS 2023 On the Strategyproofness of the Geometric Median El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang

ICML 2023 Robust Collaborative Learning with Linear Gradient Overhead Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan

NeurIPS 2023 Robust Distributed Learning: Tight Error Bounds and Breakdown Point Under Data Heterogeneity Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk

ICML 2022 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud

ICML 2022 Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

NeurIPS 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

AAAI 2021 Differentially Private Stochastic Coordinate Descent Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell

ICLR 2021 Distributed Momentum for Byzantine-Resilient Stochastic Gradient Descent El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

ICLR 2020 The Probabilistic Fault Tolerance of Neural Networks in the Continuous Limit El-Mahdi El-Mhamdi, Rachid Guerraoui, Andrei Kucharavy, Sergei Volodin

ICML 2018 Asynchronous Byzantine Machine Learning (the Case of SGD) Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki

AISTATS 2018 Personalized and Private Peer-to-Peer Machine Learning Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi

ICML 2018 The Hidden Vulnerability of Distributed Learning in Byzantium El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault

NeurIPS 2017 Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer

NeurIPS 2017 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer