Zhihong Zhang

Zhihong Zhang is a software engineer working on federated learning frameworks at NVIDIA. Among other things, he developed F3 (Flare Federation Framework) and FOBS (Flare Object Serialization). He has extensive experiences in distributed systems and big data processing. Before joining NVIDIA, he worked at PIXIA and AOL on connectivity and satellite image processing.

Posts by Zhihong Zhang

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

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