Minseok Ryu

According to our database, Minseok Ryu authored at least 14 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction.

Anh Van Nguyen, Diego Klabjan, Minseok Ryu, Kibaek Kim, Zichao Di

CoRR, February, 2025

A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems.

Minseok Ryu, Geunyeong Byeon, Kibaek Kim

CoRR, January, 2025

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

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

Proceedings of the 5th IEEE International Conference on Trust, 2024

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, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian

Proceedings of the IEEE International Conference on Big Data, 2024

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

Differentially Private Distributed Convex Optimization.

Minseok Ryu, Kibaek Kim

CoRR, 2023

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

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates.

Minseok Ryu, Kibaek Kim

CoRR, 2022

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning.

Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Differentially Private Federated Learning via Inexact ADMM.

Minseok Ryu, Kibaek Kim

CoRR, 2021

2020

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids.

Minseok Ryu, Harsha Nagarajan, Russell Bent

CoRR, 2020

2017

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

2016

Separation Algorithm for Tree Partitioning Inequalities.

Sunil Chopra, Kangbok Lee, Minseok Ryu, Sangho Shim

Electron. Notes Discret. Math., 2016