A Privacy-Preserving Distributed Control of Optimal Power Flow von Ryu, Minseok, Kim, Kibaek

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A Privacy-Preserving Distributed Control of Optimal Power Flow von Ryu, Minseok, Kim, Kibaek

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Linearized optimal power flow for multiphase radial networks with delta connections von Byeon, Geunyeong, Ryu, Minseok, Kim, Kibaek

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Algorithms for mitigating the effect of uncertain geomagnetic disturbances in electric grids von Ryu, Minseok, Nagarajan, Harsha, Bent, Russell

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Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach von Ryu, Minseok, Nagarajan, Harsha, Bent, Russell

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Heuristic algorithms for placing geomagnetically induced current blocking devices von Ryu, Minseok, Attia, Ahmed, Barnes, Arthur, Bent, Russell, Leyffer, Sven, Mate, Adam

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An extended formulation of the convex recoloring problem on a tree von Chopra, Sunil, Filipecki, Bartosz, Lee, Kangbok, Ryu, Minseok, Shim, Sangho, Van Vyve, Mathieu

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Differentially Private Distributed Convex Optimization von Ryu, Minseok, Kim, Kibaek

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Separation Algorithm for Tree Partitioning Inequalities von Chopra, Sunil, Lee, Kangbok, Ryu, Minseok, Shim, Sangho

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Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates von Ryu, Minseok, Kim, Kibaek

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Differentially Private Federated Learning via Inexact ADMM von Ryu, Minseok, Kim, Kibaek

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A Privacy-Preserving Distributed Control of Optimal Power Flow von Ryu, Minseok, Kim, Kibaek

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A GPU-based Distributed Algorithm for Linearized Optimal Power Flow in Distribution Systems von Ryu, Minseok, Byeon, Geunyeong, Kim, Kibaek

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Linearized Optimal Power Flow for Multiphase Radial Networks with Delta Connections von Byeon, Geunyeong, Ryu, Minseok, Kim, Kibaek

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Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach von Ryu, Minseok, Jiang, Ruiwei

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Differentially Private Distributed Convex Optimization von Ryu, Minseok, Kim, Kibaek

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Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach von Ryu, Minseok, Jiang, Ruiwei

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Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System von Madduri, Ravi, Li, Zilinghan, Nandi, Tarak, Kim, Kibaek, Ryu, Minseok, Rodriguez, Alex

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Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework von Li, Zilinghan, He, Shilan, Yang, Ze, Ryu, Minseok, Kim, Kibaek, Madduri, Ravi

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Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates von Ryu, Minseok, Kim, Kibaek

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