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Sadegh Farhadkhani
Sadegh Farhadkhani
EPFL
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Title
Cited by
Cited by
Year
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan
ICML '22, 2022
392022
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
EM El-Mhamdi, S Farhadkhani, R Guerraoui, A Guirguis, LN Hoang, ...
NeurIPS '21, 2021
362021
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
Y Allouah, S Farhadkhani, R Guerraoui, N Gupta, R Pinot, J Stephan
AISTATS '23, 2023
272023
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
S Farhadkhani, R Guerraoui, LN Hoang, O Villemaud
ICML '22, 2022
19*2022
On the Strategyproofness of the Geometric Median
EM El-Mhamdi, S Farhadkhani, R Guerraoui, LN Hoang
AISTATS '23, 2023
132023
On the Impossible Safety of Large AI Models
EM El-Mhamdi, S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, ...
arXiv preprint arXiv:2209.15259, 2022
13*2022
Robust Collaborative Learning with Linear Gradient Overhead
S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, J Stephan
ICML '23, 2023
6*2023
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
M De Vos, S Farhadkhani, R Guerraoui, AM Kermarrec, R Pires, ...
NeurIPS '23, 2023
22023
Tackling Byzantine Clients in Federated Learning
Y Allouah, S Farhadkhani, R GuerraouI, N Gupta, R Pinot, G Rizk, ...
arXiv preprint arXiv:2402.12780, 2024
2024
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
J Fageot, S Farhadkhani, LN Hoang, O Villemaud
AAAI' 24, 2024
2024
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Articles 1–10