Federated Learning

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

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

Mar 24, 2025

Supercharging the Federated Learning Ecosystem by Integrating Flower and NVIDIA FLARE

In recent years, open-source systems like Flower and NVIDIA FLARE have emerged as pivotal tools in the federated learning (FL) landscape, each with its unique...

9 MIN READ

Oct 24, 2024

Federated Learning in Autonomous Vehicles Using Cross-Border Training

Federated learning is revolutionizing the development of autonomous vehicles (AVs), particularly in cross-country scenarios where diverse data sources and...

10 MIN READ

Jun 28, 2024

Federated XGBoost Made Practical and Productive with NVIDIA FLARE

XGBoost is a highly effective and scalable machine learning algorithm widely employed for regression, classification, and ranking tasks. Building on the...

6 MIN READ

Decorative collage of a sun with flaring light and federated learning models.

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

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

Sep 28, 2023

Preventing Health Data Leaks with Federated Learning Using NVIDIA FLARE

More than 40 million people had their health data leaked in 2021, and the trend is not optimistic. The key goal of federated learning and analytics is to...

10 MIN READ

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 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

Jan 11, 2023

Explainer: What Is Federated Learning?

Federated learning makes it possible for AI algorithms to gain experience from a vast range of data located at different sites.

1 MIN READ

Oct 25, 2022

Federated Learning from Simulation to Production with NVIDIA FLARE

NVIDIA FLARE 2.2 includes a host of new features that reduce development time and accelerate deployment for federated learning, helping organizations cut costs...

10 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

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

Jun 21, 2021

Federated Learning with Homomorphic Encryption

In NVIDIA Clara Train 4.0, we added homomorphic encryption (HE) tools for federated learning (FL). HE enables you to compute data while the data is still...

5 MIN READ

Nov 17, 2020

Clara Train 3.1 Brings Secure, Enterprise-Grade Federated Learning to Developers

NVIDIA recently released Clara Train 3.1 for healthcare developers to collaborate on secure, enterprise-grade AI models. Building robust AI can be a challenge...

2 MIN READ