Separation Algorithm for Tree Partitioning Inequalities. - Sunil Chopra; Kangbok Lee; Minseok Ryu; Sangho Shim (Electron. Notes Discret. Math., 2016)

An extended formulation of the convex recoloring problem on a tree. - Sunil Chopra; Bartosz Filipecki; Kangbok Lee; Minseok Ryu; Sangho Shim; Mathieu Van Vyve (Math. Program., 2017)

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids. - Minseok Ryu; Harsha Nagarajan; Russell Bent (CoRR, 2020)

Differentially Private Federated Learning via Inexact ADMM. - Minseok Ryu; Kibaek Kim (CoRR, 2021)

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. - Minseok Ryu; Youngdae Kim; Kibaek Kim; Ravi K. Madduri (IPDPS Workshops, 2022)

Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates. - Minseok Ryu; Kibaek Kim (CoRR, 2022)

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. - Zilinghan Li; Shilan He; Pranshu Chaturvedi; Trung-Hieu Hoang; Minseok Ryu; Eliu A. Huerta; Volodymyr V. Kindratenko; Jordan D. Fuhrman; Maryellen L. Giger; Ryan Chard; Kibaek Kim; Ravi K. Madduri (e-Science, 2023)

Differentially Private Distributed Convex Optimization. - Minseok Ryu; Kibaek Kim (CoRR, 2023)

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. - Trung-Hieu Hoang; Jordan D. Fuhrman; Ravi K. Madduri; Miao Li; Pranshu Chaturvedi; Zilinghan Li; Kibaek Kim; Minseok Ryu; Ryan Chard; Eliu A. Huerta; Maryellen L. Giger (CoRR, 2023)

Privacy-Preserving Federated Learning for Science: Challenges and Research Directions. - Kibaek Kim; Krishnan Raghavan; Olivera Kotevska; Matthieu Dorier; Ravi K. Madduri; Minseok Ryu; Todd S. Munson; Robert Ross; Thomas Flynn 001; Ai Kagawa; Byung-Jun Yoon; Christian Engelmann; et al. (IEEE Big Data, 2024)

Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System. - Ravi K. Madduri; Zilinghan Li; Tarak Nandi; Kibaek Kim; Minseok Ryu; Alex Rodriguez (TPS-ISA, 2024)

Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework. - Zilinghan Li; Shilan He; Ze Yang; Minseok Ryu; Kibaek Kim; Ravi K. Madduri (CoRR, 2024)

A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems. - Minseok Ryu; Geunyeong Byeon; Kibaek Kim (IPDPS, 2025)

Nurse Staffing Under Absenteeism: A Distributionally Robust Optimization Approach. - Minseok Ryu; Ruiwei Jiang (Manuf. Serv. Oper. Manag., 2025)

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction. - Anh Van Nguyen; Diego Klabjan; Minseok Ryu; Kibaek Kim; Zichao Di (CoRR, 2025)