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2020 – today
- 2024
[i9]Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri:
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework. CoRR abs/2409.11585 (2024)- [i8]Ravi K. Madduri, Zilinghan Li, Tarak Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez:
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System. CoRR abs/2409.19756 (2024) - 2023
- [c2]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:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 2023: 1-4 - [i7]Minseok Ryu, Kibaek Kim:
Differentially Private Distributed Convex Optimization. CoRR abs/2302.14514 (2023) - [i6]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
:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR abs/2308.08786 (2023) - [i5]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:
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR abs/2312.08701 (2023) - 2022
- [c1]Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri:
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. IPDPS Workshops 2022: 1074-1083 - [i4]Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri:
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. CoRR abs/2202.03672 (2022) - [i3]Minseok Ryu, Kibaek Kim:
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates. CoRR abs/2202.09409 (2022) - 2021
- [i2]Minseok Ryu, Kibaek Kim:
Differentially Private Federated Learning via Inexact ADMM. CoRR abs/2106.06127 (2021) - 2020
- [i1]Minseok Ryu, Harsha Nagarajan, Russell Bent:
Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids. CoRR abs/2006.02461 (2020)
2010 – 2019
- 2017
- [j2]Sunil Chopra, Bartosz Filipecki, Kangbok Lee, Minseok Ryu, Sangho Shim, Mathieu Van Vyve:
An extended formulation of the convex recoloring problem on a tree. Math. Program. 165(2): 529-548 (2017) - 2016
- [j1]Sunil Chopra, Kangbok Lee, Minseok Ryu, Sangho Shim:
Separation Algorithm for Tree Partitioning Inequalities. Electron. Notes Discret. Math. 52: 109-116 (2016)
Coauthor Index
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