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20182025
most citedSCAFFOLD: Stochastic Controlled Averaging for Federated Learning

732 citations · 1.7k across the 44 of their papers we have counts for

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math.OC2019★ 39 cited

Why are Adaptive Methods Good for Attention Models?

Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit +4

While stochastic gradient descent (SGD) is still the \emph{de facto} algorithm in deep learning, adaptive methods like Clipped SGD/Adam have been observed to outperform SGD across…

math.OC2018★ 9 cited

Efficient Greedy Coordinate Descent for Composite Problems

Sai Praneeth Karimireddy, Anastasia Koloskova, Sebastian U. Stich +1

Coordinate descent with random coordinate selection is the current state of the art for many large scale optimization problems. However, greedy selection of the steepest coordinate…