16 citations · 43 across the 18 of their papers we have counts for
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cs.LG2021★ 2 cited
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…
math.OC2021★ 2 cited
Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach
Minseok Ryu, Harsha Nagarajan, Russell Bent
Severe geomagnetic disturbances (GMDs) increase the magnitude of the electric field on the Earth's surface (E-field) and drive geomagnetically-induced currents (GICs) along the tra…
math.OC2021★ 5 cited
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…