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Minseok Ryu — most-cited papers & profile · Federated Learning
← authors
·
overview
Minseok Ryu
12
papers ·
41
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning
2022 · 28 citations
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates
2022 · 6 citations
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
2024 · 2 citations
Differentially Private Federated Learning via Inexact ADMM
2021 · 2 citations
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service
2023 · 1 citations
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
2025
Differentially Private Distributed Convex Optimization
2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx
2023
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
2024
Top co-authors
Kibaek Kim
· 9
Zilinghan Li
· 4
E. A. Huerta
· 2
Alex Rodriguez
· 1
Diego Klabjan
· 1
Miao Li
· 1
Volodymyr Kindratenko
· 1
Ze Yang
· 1
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