Yuan-Ting Hsieh

Yuan-Ting is a senior software engineer at NVIDIA. He is working on NVIDIA Flare, an application runtime environment designed for NVIDIA federated learning initiatives. Before his work on NVIDIA Flare, Yuan-Ting was an integral part of the team that developed the Clara-Train SDK and AIAA (Artificial Intelligence Assisted Annotation), which has since been integrated into MONAI (Medical Open Network for AI). Yuan-Ting holds a master’s degree in Computer Science from the University of Wisconsin-Madison and a bachelor’s degree in Electrical Engineering from National Taiwan University. He's particularly interested in the intersection of machine learning and distributed systems in his professional pursuits.
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Posts by Yuan-Ting Hsieh

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Edge Computing Apr 11, 2025

Effortless Federated Learning on Mobile with NVIDIA FLARE and Meta ExecuTorch

NVIDIA and the PyTorch team at Meta announced a groundbreaking collaboration that brings federated learning (FL) capabilities to mobile devices through the... 12 MIN READ
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Data Science Dec 18, 2024

Security for Data Privacy in Federated Learning with CUDA-Accelerated Homomorphic Encryption in XGBoost

XGBoost is a machine learning algorithm widely used for tabular data modeling. To expand the XGBoost model from single-site learning to multisite collaborative... 10 MIN READ
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Data Science Jun 28, 2024

Federated XGBoost Made Practical and Productive with NVIDIA FLARE

XGBoost is a highly effective and scalable machine learning algorithm widely employed for regression, classification, and ranking tasks. Building on the... 6 MIN READ
Generative AI Feb 29, 2024

Scalable Federated Learning with NVIDIA FLARE for Enhanced LLM Performance

In the ever-evolving landscape of large language models (LLMs), effective data management is a key challenge. Data is at the heart of model performance. While... 8 MIN READ