Zhihong Zhang – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-01T18:35:55Z http://www.open-lab.net/blog/feed/ Zhihong Zhang <![CDATA[Efficient Federated Learning in the Era of LLMs with Message Quantization and Streaming]]> http://www.open-lab.net/blog/?p=98553 2025-05-01T18:35:52Z 2025-04-16T16:00:00Z Federated learning (FL) has emerged as a promising approach for training machine learning models across distributed data sources while preserving data privacy....]]>

Federated learning (FL) has emerged as a promising approach for training machine learning models across distributed data sources while preserving data privacy. However, FL faces significant challenges related to communication overhead and local resource constraints when balancing model requirements and communication capabilities. Particularly in the current era of large language models…

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Zhihong Zhang <![CDATA[Effortless Federated Learning on Mobile with NVIDIA FLARE and Meta ExecuTorch]]> http://www.open-lab.net/blog/?p=98560 2025-05-01T18:35:55Z 2025-04-11T18:37:54Z NVIDIA and the PyTorch team at Meta announced a groundbreaking collaboration that brings federated learning (FL) capabilities to mobile devices through the...]]>

NVIDIA and the PyTorch team at Meta announced a groundbreaking collaboration that brings federated learning (FL) capabilities to mobile devices through the integration of NVIDIA FLARE and ExecuTorch. NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that enables researchers and data scientists to adapt existing machine learning or deep learning workflows to a federated paradigm.

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Zhihong Zhang <![CDATA[Security for Data Privacy in Federated Learning with CUDA-Accelerated Homomorphic Encryption in XGBoost]]> http://www.open-lab.net/blog/?p=93870 2024-12-17T19:33:44Z 2024-12-18T21:30:00Z XGBoost is a machine learning algorithm widely used for tabular data modeling. To expand the XGBoost model from single-site learning to multisite collaborative...]]>

XGBoost is a machine learning algorithm widely used for tabular data modeling. To expand the XGBoost model from single-site learning to multisite collaborative training, NVIDIA has developed Federated XGBoost, an XGBoost plugin for federation learning. It covers vertical collaboration settings to jointly train XGBoost models across decentralized data sources, as well as horizontal histogram-based…

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