52 citations · 255 across the 21 of their papers we have counts for
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cs.LG2021★ 1 cited
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun, Shashank Rajput, Suvrit Sra
In distributed learning, local SGD (also known as federated averaging) and its simple baseline minibatch SGD are widely studied optimization methods. Most existing analyses of thes…
cs.LG2021★ 2 cited
Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
We propose matrix norm inequalities that extend the Recht-Ré (2012) conjecture on a noncommutative AM-GM inequality by supplementing it with another inequality that accounts for si…