The official repo for the Flux Blockchain Federated Learning project

Deep learning on the web

An AI-powered security platform & browser extension that detects phishing, spam, and social engineering attacks in real time.

A Federated Access Control (FAC) Framework for Secure AI Model Management in Decentralised Financial Systems

Hybrid Federated Learning enabling Flower with Web browsers using Cloud-Edge-Client Continuum and Virtual Pods.

⏰ FL conference deadline countdowns

A privacy-preserving AI system for early diabetes prediction using distributed machine learning across healthcare institutions.

This work is part of 6GDAWN project for trust PoC. We use blockchain and smart contracts to enable a trustworthy reputation mechanism for O-RAN.

FLAT (Federated Learning Across Tabs) is an FL system that trains AI models directly on Web browsers via ONNX Runtime Training Web and the Cloud-Edge-Client Continuum paradigm.

Sandbox to experiment and learn what Federated Learning is in-action

Welcome to our official website

1st AI Prize: DeDoctor is a revolutionary solution that employs federative learning within hospitals, aggregates cardiovascular disease data to then provide accurate diagnoses and recommendations, and has the potential to do chain abstraction.

Federated Learning Front End Code

Adaptation of the Python client of the Flower library in NodeJs

YC Hackathon 2018 Winner Project. BEN: A decentralized chatbot that uses federated learning.

Federated Learning with blockchain

Blockchain infrastructure for decentralized machine learning (decentralized-ml repo).

Interoperable and decentralized machine learning in JavaScript.

Decentralized (P2P) Federated Learning implementation using libp2p JavaScript