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.
Avatar photo

Posts by Yuan-Ting Hsieh

Data Science

Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE

Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the... 10 MIN READ
Data Science

Federated Learning Without the Refactoring Overhead Using NVIDIA FLARE

Federated learning (FL) is no longer a research curiosity—it’s a practical response to a hard constraint: the most valuable data is often the least movable.... 8 MIN READ
Edge Computing

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
Data Science

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
Data Science

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
Agentic AI / Generative AI

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