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06/08/2022
Push–Pull with Device Sampling
We consider decentralized optimization problems in which a number of age...
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12/17/2021
Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
We present a federated learning framework that is designed to robustly d...
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09/30/2020
First-order Optimization for Superquantile-based Supervised Learning
Classical supervised learning via empirical risk (or negative log-likeli...
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09/25/2020
Randomized Progressive Hedging methods for Multi-stage Stochastic Programming
Progressive Hedging is a popular decomposition algorithm for solving mul...
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02/25/2020