The Federated Learning toolkit for developers
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IntegrateFL is the production-ready federated learning platform for privacy-safe exploration, analytics, and modeling on distributed data.

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IntegrateFL is the easiest federated learning solution to…

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Set up – IntegrateFL manages the federated infrastructure, so you can just run a few lines of code and go

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Use – Seamlessly invite partners to connect their data sets and set up federated training sessions with simple admin tools

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Integrate – Your team can use IntegrateFL APIs to train models on distributed data directly in their notebook environment

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Scale – No need to modify and redeploy your solution as you expand to more data sets and use cases

Move quicker with the production-ready federated learning platform

Infrastructure IntegrateFL NVidia Flare Flower
Managed end-to-end platform
Python SDK
Web API Access
Data Science Tools
Out of the box support for most model types
Exploratory Data Analysis
Feature Engineering
Privacy
Built-in Differential Privacy
Understandable privacy settings
Observability
Real-time network monitoring
Data network value metrics

IntegrateFL is the versatile solution for training models on any data that cannot be shared.

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For Product Innovation

Enable your team or customers to train models across distributed data right in your product

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For Research

Use IntegrateFL within your existing workflows to train models and generate insights on partner data

With IntegrateFL you get access to...

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Federated learning + Differential privacy

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Off-the-shelf support for most models and data types

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Managed infrastructure

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Network administration tools

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API-based tooling (coming soon)

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Popular database integrations (coming soon)

What is federated learning?

Unlike traditional machine learning techniques that require data to be centralized, federated learning enables you to train models on distributed datasets.

No data moves, which means that you can access data for machine learning and analytics without compromising privacy while avoiding the pain and expense of transferring data.