Sadegh Farhadkhani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Geometric Primitives

Collaborative Learning Environment

Collaborative Learning

Top Venues

Publications

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