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# Byzantine-Resilient Non-Convex Stochastic Gradient Descent

ICLR, (2021)

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Abstract

We study adversary-resilient stochastic distributed optimization, in which $m$ machines can independently compute stochastic gradients, and cooperate to jointly optimize over their local objective functions. However, an $\alpha$-fraction of the machines are $\textit{Byzantine}$, in that they may behave in arbitrary, adversarial ways. We...More

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Author
Faeze Ebrahimian