Sadegh Farhadkhani

22 papers A* 8A 2Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robust Federated Inference. CoRR Akash Balasaheb Dhasade, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Maxime Jacovella, Anne-Marie Kermarrec, Rafael Pinot
2024	A*	`conf`	Brief Announcement: A Case for Byzantine Machine Learning. PODC Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
2024	A*	`conf`	Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates. ICML Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych
2024	A*	`conf`	Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons. AAAI Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud
2024	J	`jnl`	On the Relevance of Byzantine Robust Optimization Against Data Poisoning. CoRR Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
2024	J	`jnl`	Tackling Byzantine Clients in Federated Learning. CoRR Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych
2023	A*	`conf`	Epidemic Learning: Boosting Decentralized Learning with Randomized Communication. NeurIPS Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma
2023	J	`jnl`	Epidemic Learning: Boosting Decentralized Learning with Randomized Communication. CoRR Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma
2023	A	`conf`	Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. AISTATS Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
2023	J	`jnl`	Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. CoRR Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
2023	A	`conf`	On the Strategyproofness of the Geometric Median. AISTATS El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
2023	A*	`conf`	Robust Collaborative Learning with Linear Gradient Overhead. ICML Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan
2022	A*	`conf`	An Equivalence Between Data Poisoning and Byzantine Gradient Attacks. ICML Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud
2022	J	`jnl`	An Equivalence Between Data Poisoning and Byzantine Gradient Attacks. CoRR Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud
2022	A*	`conf`	Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums. ICML Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
2022	J	`jnl`	Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums. CoRR Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
2022	J	`jnl`	Making Byzantine Decentralized Learning Efficient. CoRR Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan
2022	J	`jnl`	On the Impossible Safety of Large AI Models. CoRR El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan
2021	A*	`conf`	Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning). NeurIPS El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault
2021	J	`jnl`	On the Strategyproofness of the Geometric Median. CoRR El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
2021	J	`jnl`	Strategyproof Learning: Building Trustworthy User-Generated Datasets. CoRR Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
2020	J	`jnl`	Collaborative Learning as an Agreement Problem. CoRR El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault