DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.
- Updated
Nov 24, 2025 - TypeScript
DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.
This repository contains the main central packages of the Personal Health Train (PHT) for federated- & online-lerarning.
Multi-Cloud Federated Learning Platform
Scatter Protocol: An Incentivized and Trustless Protocol for Decentralized Federated Learning - Accepted to IEEE International Conference on Blockchain
Hackathon project for ETH Global NYC 2023 event, Sept 22-24.
This repository contains the hub packages & services of FLAME.
Federated Partial Identification for Causal Inference with OMOP CDM
HiveBridge backend for collaborative AI development in healthcare.
🔐 Implement a secure DevSecOps pipeline for a Tic Tac Toe game, ensuring code quality and smooth deployment with safety checks at every stage.
Federated adaptive edtech learning platform
Production-grade blockchain explorer for the GLIN network. Built with Next.js 15, Polkadot.js, and hybrid architecture.
WebGPU-based on-device neural network training framework
SDKs for integrating with GLIN network
Este proyecto simula un entorno de red loT, donde se gestionan nodos y se implementan modelos de inteligencia artificial para identificar amenazas cibernéticas. Desarrollado como parte de un Trabajo de Fin de Grado.
Multi-Cloud Federated Learning Platform
The Baseline Protocol is an open source initiative that combines advances in cryptography, messaging, and blockchain to execute secure and private business processes at low cost via the public Ethereum Mainnet. This repo is maintained solely for the implementation of an usecase tech stack of federated machine learning on medical health data usin…
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