The Hidden Vulnerability of Distributed Learning in Byzantium

ICML 2018 El Mahdi El MhamdiRachid GuerraouiSébastien Rouault

While machine learning is going through an era of celebrated success, concerns have been raised about the vulnerability of its backbone: stochastic gradient descent (SGD). Recent approaches have been proposed to ensure the robustness of distributed SGD against adversarial (Byzantine) workers sending poisoned gradients during the training phase... (read more)

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