PyGrid
A peer-to-peer platform for secure, privacy-preserving, decentralized data science and federated learning.
What is PyGrid?
PyGrid is a peer-to-peer platform designed for secure, privacy-preserving, and decentralized data science. It enables federated learning by allowing data owners and scientists to train AI models collaboratively without exposing raw data, addressing the critical need for data privacy in machine learning.
Data scientists, AI researchers, and organizations that need to train models on sensitive or distributed data while maintaining strict privacy controls and compliance.
Developers choose PyGrid because it provides a production-ready, open-source framework for federated learning with a flexible architecture, supporting both model-centric and data-centric approaches while integrating seamlessly with the PySyft ecosystem for privacy-enhancing technologies.
Overview
A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
Use Cases
Best For
- Training machine learning models on sensitive data stored across multiple devices or organizations
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