| APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning M Ryu, Y Kim, K Kim, RK Madduri IEEE International Parallel and Distributed Processing Symposium Workshops …, 2022 | 49 | 2022 |
| Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls R Jiang, M Ryu, G Xu arXiv preprint arXiv:1907.03219, 2019 | 38 | 2019 |
| Advances in appfl: A comprehensive and extensible federated learning framework Z Li, S He, Z Yang, M Ryu, K Kim, R Madduri 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet …, 2025 | 37 | 2025 |
| A Privacy-Preserving Distributed Control of Optimal Power Flow M Ryu, K Kim IEEE Transactions on Power Systems 37 (3), 2042-2051, 2022 | 33 | 2022 |
| Nurse staffing under absenteeism: A distributionally robust optimization approach M Ryu, R Jiang Manufacturing & Service Operations Management, 2025 | 30* | 2025 |
| APPFLX: Providing privacy-preserving cross-silo federated learning as a service Z Li, S He, P Chaturvedi, TH Hoang, M Ryu, EA Huerta, V Kindratenko, ... 2023 IEEE 19th International Conference on e-Science (e-Science), 1-4, 2023 | 21 | 2023 |
| Differentially private federated learning via inexact ADMM with multiple local updates M Ryu, K Kim arXiv preprint arXiv:2202.09409, 2022 | 21 | 2022 |
| An extended formulation of the convex recoloring problem on a tree S Chopra, B Filipecki, K Lee, M Ryu, S Shim, M Van Vyve Mathematical Programming 165 (2), 529-548, 2017 | 20 | 2017 |
| Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx TH Hoang, J Fuhrman, M Klarqvist, M Li, P Chaturvedi, Z Li, K Kim, M Ryu, ... Computational and Structural Biotechnology Journal 28, 29-39, 2025 | 13 | 2025 |
| Differentially private federated learning via inexact admm M Ryu, K Kim arXiv preprint arXiv:2106.06127, 2021 | 11 | 2021 |
| Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach M Ryu, H Nagarajan, R Bent IEEE Transactions on Power Systems 37 (6), 4258-4269, 2022 | 10 | 2022 |
| Advances in privacy preserving federated learning to realize a truly learning healthcare system R Madduri, Z Li, T Nandi, K Kim, M Ryu, A Rodriguez 2024 IEEE 6th International Conference on Trust, Privacy and Security in …, 2024 | 7 | 2024 |
| Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids M Ryu, H Nagarajan, R Bent Electric Power Systems Research 189 (PSCC 2020), 106790, 2020 | 7 | 2020 |
| Linearized optimal power flow for multiphase radial networks with delta connections G Byeon, M Ryu, K Kim Electric Power Systems Research 235, 110689, 2024 | 5* | 2024 |
| Heuristic algorithms for placing geomagnetically induced current blocking devices M Ryu, A Attia, A Barnes, R Bent, S Leyffer, A Mate Electric Power Systems Research 234, 110645, 2024 | 4 | 2024 |
| A GPU-accelerated distributed algorithm for optimal power flow in distribution systems M Ryu, G Byeon, K Kim 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2025 | 3* | 2025 |
| Privacy-preserving federated learning for science: Challenges and research directions K Kim, K Raghavan, O Kotevska, M Dorier, R Madduri, M Ryu, T Munson, ... 2024 IEEE International Conference on Big Data (BigData), 7849-7853, 2024 | 3 | 2024 |
| Differentially Private Distributed Convex Optimization M Ryu, K Kim arXiv preprint arXiv:2302.14514, 2023 | 3 | 2023 |
| Development of an Engineering Education Framework for Aerodynamic Shape Optimization HI Kwon, S Kim, H Lee, M Ryu, T Kim, S Choi International Journal of Aeronautical and Space Sciences 14 (4), 297-309, 2013 | 3 | 2013 |
| Firm: Federated image reconstruction using multimodal tomographic data G Byeon, M Ryu, ZW Di, K Kim arXiv preprint arXiv:2501.05642, 2025 | 2 | 2025 |
Kibaek KimArgonne National LaboratoryVerified email at anl.gov
