FELToken - Federated Learning Token

Name of Project:

Proposal in one sentence:
Creating a decentralized and more secure solution for federated learning (privacy-preserving machine learning) while anonymizing data providers.

Description of the project and what problem is it solving:
FELToken is connecting owners of the data with scientists to train their machine learning models while preserving the privacy of the data. Current federated learning solutions rely on a central server. We are building a product with the simplest user experience possible while being decentralized. This allows anonymous participation of data providers and prevents malicious activities. Data providers get rewards for sharing their data and resulting models can be further sold.

Web: https://feltoken.ai/
Twitter: https://twitter.com/FELToken
Discord: FELToken

Grant Deliverables:

  • Finish basic web app and deploy to test net
  • Tutorial for data scientist about using our tool
  • Create survey for data scientists from Algovera about possible use cases, expectations and requirements from our tool, in order to know how to make the tool really useful for the community
  • Blog post about survey results and next cooperation with Algovera


Břetislav Hájek, Filip Masár


Excited to see FELToken’s progress.

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