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math.OC2024
Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach
Hoang Huy Nguyen, Yan Li, Tuo Zhao
In modern decentralized applications, ensuring communication efficiency and privacy for the users are the key challenges. In order to train machine-learning models, the algorithm h…
math.OC2023★ 1 cited
Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds
Hoang Huy Nguyen, Siva Theja Maguluri
We consider a nonlinear discrete stochastic control system, and our goal is to design a feedback control policy in order to lead the system to a prespecified state. We adopt a stoc…
math.OC2022★ 3 cited
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
Quang Minh Nguyen, Hoang H. Nguyen, Yi Zhou +1
We study the Unbalanced Optimal Transport (UOT) between two measures of possibly different masses with at most components, where the marginal constraints of standard Optimal Tr…