Ziyue Xu

Ziyue Xu is a senior scientist at NVIDIA. His research interests are in the area of image analysis and computer vision with applications in biomedical and clinical imaging. He has been working on medical AI since 2007 along with fellow researchers and clinicians. Ziyue received his B.S. from Tsinghua University in 2006, and M.S./Ph.D. from the University of Iowa in 2009/2012. He is an IEEE Senior Member and Associate Editor for the journals IEEE Transactions on Medical Imaging (TMI), Journal of Biomedical and Health Informatics (JBHI), Computerized Medical Imaging and Graphics (CMIG), and Computers in Biology and Medicine (CBM).
Ziyue Xu

Posts by Ziyue Xu

Decorative collage of a sun with flaring light and federated learning models.
Generative AI Mar 06, 2024

Turning Machine Learning to Federated Learning in Minutes with NVIDIA FLARE 2.4

Federated learning (FL) is experiencing accelerated adoption due to its decentralized, privacy-preserving nature. In sectors such as healthcare and financial... 16 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
Generative AI Jul 10, 2023

Adapting LLMs to Downstream Tasks Using Federated Learning on Distributed Datasets

Large language models (LLMs), such as GPT, have emerged as revolutionary tools in natural language processing (NLP) due to their ability to understand and... 7 MIN READ
Data Science Jun 22, 2023

Applying Federated Learning to Traditional Machine Learning Methods

In the era of big data and distributed computing, traditional approaches to machine learning (ML) face a significant challenge: how to train models... 3 MIN READ
Connected healthcare facilities graphic
Data Science Jun 14, 2023

Boost Your AI Workflows with Federated Learning Enabled by NVIDIA FLARE

One of the main challenges for businesses leveraging AI in their workflows is managing the infrastructure needed to support large-scale training and deployment... 7 MIN READ