Farhadkhani, Sadegh

9 publications

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

AAAI 2024 Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud

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

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

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