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

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Data Science

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
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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
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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
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Generative AI

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

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

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