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
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
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
Aug 16, 2022
Using Federated Learning to Bridge Data Silos in Financial Services
Unlocking the full potential of artificial intelligence (AI) in financial services is often hindered by the inability to ensure data privacy during machine...
8 MIN READ
Aug 02, 2022
How MONAI Fuels Open Research for Medical AI Workflows
It's never been more important to put powerful AI tools in the hands of the world's leading medical researchers. That’s why NVIDIA has invested in building a...
6 MIN READ
Jun 23, 2022
Experimenting with Novel Distributed Applications Using NVIDIA Flare 2.1
NVIDIA FLARE (NVIDIA Federated Learning Application Runtime Environment) is an open-source Python SDK for collaborative computation. FLARE is designed with a...
14 MIN READ