15 citations · 47 across the 20 of their papers we have counts for
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Garfield: System Support for Byzantine Machine Learning
Rachid Guerraoui, Arsany Guirguis, Jérémy Max Plassmann +2
We present Garfield, a library to transparently make machine learning (ML) applications, initially built with popular (but fragile) frameworks, e.g., TensorFlow and PyTorch, Byzant…
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui +3
We study Byzantine collaborative learning, where nodes seek to collectively learn from each others' local data. The data distribution may vary from one node to another. No node…
Distributed Momentum for Byzantine-resilient Learning
El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault
Momentum is a variant of gradient descent that has been proposed for its benefits on convergence. In a distributed setting, momentum can be implemented either at the server or the…