Sadegh Farhadkhani

22 papers A* 8A 2Journal 12
YearRankTypeTitle / 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