Posts by Yuan-Ting Hsieh
Data Science
Sep 15, 2026
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
Apr 24, 2026
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
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
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
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
Agentic AI / 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