Ziyue Xu

Ziyue Xu is a senior scientist at NVIDIA. His research interests lie in the area of medical image analysis, computer vision, and federated learning. He has been working on collaborative AI development over the years along with fellow researchers and clinicians. Ziyue received his B.S. from Tsinghua University in 2006, and M.S. and Ph.D. from the University of Iowa in 2009 and 2012, respectively. He is an IEEE Senior Member, Area Chair for major conferences, and Associate Editor for several journals, including IEEE Transactions of Medical Imaging (TMI) and International Journal of Computer Vision (IJCV).
Ziyue Xu

Posts by Ziyue Xu

Data Science Aug 19, 2026

Building Federated Multimodal AI Workflows with NVIDIA FLARE

Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data... 7 MIN READ
Agentic AI / Generative AI Jun 09, 2026

Accelerating Federated Learning Research with AI Agents and NVIDIA FLARE Auto-FL

Federated learning (FL) research often begins with a deceptively simple question: What should we try next? A new aggregation rule, a FedProx coefficient, a... 10 MIN READ
Connected healthcare facilities graphic
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
Decorative image.
Data Science Apr 16, 2025

Efficient Federated Learning in the Era of LLMs with Message Quantization and Streaming

Federated learning (FL) has emerged as a promising approach for training machine learning models across distributed data sources while preserving data privacy.... 8 MIN READ
Decorative image.
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
Decorative image.
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