9 citations · 24 across the 21 of their papers we have counts for
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math.OC2020★ 1 cited
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
Brian Bullins, Kevin A. Lai
We provide improved convergence rates for constrained convex-concave min-max problems and monotone variational inequalities with higher-order smoothness. In min-max settings where…
cs.LG2020
Is Local SGD Better than Minibatch SGD?
Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich +5
We study local SGD (also known as parallel SGD and federated averaging), a natural and frequently used stochastic distributed optimization method. Its theoretical foundations are c…