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Federated Learning Labs

Tools for privacy preserving data science. Run machine learning or simple analytics on distributed data.

Launch App
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Create decentralized federated learning projects and train models easily.
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Leverage data without having direct access to them.
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Encrypted exchange of all results.
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Get paid by providing data for training.
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Our Mission

Our goal is to make machine learning possible on sensitive data without compromising privacy. We enable this process across multiple data providers, unleashing the aggregated power of distributed datasets. We strive for simplicity, allowing anyone to set up a project. Connecting data scientists with data providers is a matter of minutes.

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Services

Nocode platform

Web application for running federated learning easily.

Integrations

Federated Learning as a Service. Integrate FELT into web applications with our SDK.

Consulting

Data science support, algorithms for specific use-cases.

Infrastructure

We provide compute environments for running CtD jobs

Our Team

Břetislav Hájek

Břetislav Hájek
Filip Masár

Filip Masár

Stay updated on the latest FELT news!

Follow us on our Twitter@FELT_labs

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