Technical Blog
Tag: Federated Learning
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Technical Walkthrough
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.
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Technical Walkthrough
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
Technical Walkthrough
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
Technical Walkthrough
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
Technical Walkthrough
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
News
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