16 citations · 19 across the 3 of their papers we have counts for
4 papers
Differentially Private Federated Learning via Inexact ADMM
Minseok Ryu, Kibaek Kim
Differential privacy (DP) techniques can be applied to the federated learning model to protect data privacy against inference attacks to communication among the learning agents. Th…
A Privacy-Preserving Distributed Control of Optimal Power Flow
Minseok Ryu, Kibaek Kim
We consider a distributed optimal power flow formulated as an optimization problem that maximizes a nondifferentiable concave function. Solving such a problem by the existing distr…
Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids
Minseok Ryu, Harsha Nagarajan, Russell Bent
Geomagnetic disturbances (GMDs), a result of space weather, pose a severe risk to electric grids. When GMDs occur, they can cause geomagnetically-induced currents (GICs), which sat…
Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls
Ruiwei Jiang, Minseok Ryu, Guanglin Xu
We study a single-server appointment scheduling problem with a fixed sequence of appointments, for which we must determine the arrival time for each appointment. We specifically ex…