most citedStraggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity

15 citations · 19 across the 3 of their papers we have counts for

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stat.ML2022★ 1 cited

The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance

Matthew Faw, Isidoros Tziotis, Constantine Caramanis +3

We study convergence rates of AdaGrad-Norm as an exemplar of adaptive stochastic gradient methods (SGD), where the step sizes change based on observed stochastic gradients, for min…