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Next Discovery Awaits

Federated Learning Labs

Tool for secure and anonymous federated learning. Create a new project, provide data, develop new models and more.

Launch App
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Create decentralized federated learning projects and train models easily.
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Fully anonymized participation of data providers.
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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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Benefits

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Anonymous

Nodes don't need to expose any public API, which minimizes possible attacks.

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Accountable

Nodes receive rewards for active participation. They can vote to penalize unwanted behavior of other nodes.

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Encrypted

Nodes use the Diffie-Hellman protocol to exchange a common secret.

Our Roadmap

Nov 2021

Birth

Birth of FELT in the Chainlink Hackathon

Q1 2022

Web App

Web App for interacting with smart contracts

Deployment to Testnet

Q2 2022

Testing

Testing and creating new Project contracts

Integrations

Integrations with other platforms

Tokenomics

Researching tokenomics

Q3 2022

Deployment to Mainnet

Our Team

Břetislav Hájek

Břetislav Hájek
Filip Masár

Filip Masár
Martin Ondejka

Martin Ondejka
Peter Žáčik

Peter Žáčik
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Want to work with us?

Your project is very important to us.

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