Federated Learning Labs
Tools for privacy preserving data science. Run machine learning or simple analytics on distributed data.
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.
Learn MoreBenefits
Privacy Preserving
We allow doing data science on distributed datasets without having direct access to them.
Easy to start
Train machine learning models on distributed data easily.
Encrypted
Secure exchange of compute results is our #1 priority.
Our Roadmap
Nov 2021
Birth
Birth of FELT on Chainlink Hackathon
2022
Architectural Upgrade
We decided to create FELT on top of Ocean Protocol stack.
MVP
FELT v.0.1.0 built on top of Ocean Protocol stack
Ocean Shipyard
We joined Ocean Shipyard - early stage grant program
Q1 2023
3rd Party Algorithms
We are creating a system for 3rd party algorithms to be used in FELT
Automation
Python workflow for automating the process of running federated learning
Q2 2023
Marketplace Integration
Easier access to FELT directly from Ocean Marketplace
Organization Feature
Dashboard for organizations to manage their projects and members
New AI Models
Add support for TensorFlow models
Our Team
Břetislav Hájek
Filip Masár
Martin Ondejka
Peter Žáčik
Stay updated on the latest FELT news!
Follow us on our Twitter@FELT_labs
