2021
Byzantine-Resilient Non-Convex Stochastic Gradient Descent
ICLR 2021poster
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 Byzantine, in that they may behave in arbi…