5 citations · 16 across the 8 of their papers we have counts for
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cs.LG2021★ 2 cited
Federated Asymptotics: a model to compare federated learning algorithms
Gary Cheng, Karan Chadha, John Duchi
We propose an asymptotic framework to analyze the performance of (personalized) federated learning algorithms. In this new framework, we formulate federated learning as a multi-cri…
math.OC2021★ 5 cited
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
Karan Chadha, Gary Cheng, John C. Duchi
We extend the Approximate-Proximal Point (aProx) family of model-based methods for solving stochastic convex optimization problems, including stochastic subgradient, proximal point…