This is the github repository for all documentations, papers, architectures and more.

Please find the current architecture for the distributed AI demo we are working on. In this demo we are planning to implement a blockchain based system using go-ethereum. On this platform simple integer homomorphic encryption could be used to perform secure vanilla deep learning inference and training. MPC + Federated learning is intended to be used to aggregate all weights for the models from clients, and push it to the server to update.

Additionally we have a Papers implementation playground documentation. This file keeps tracking what we did, what we are doing and what we plan to do in the future. We will jointly maintain this list.