Decentralized Federated Learning Platform
A blockchain-based federated learning platform built on NEAR Protocol that enables decentralized machine learning model training while preserving data privacy.
Features
Decentralized Model Training
Use federated learning for distributed model training across multiple participants.
Privacy-Preserving
Ensure data privacy by keeping sensitive information on local devices during training.
Blockchain Integration
Leverage NEAR Protocol for transparency, incentives, and secure model updates.
Tech Stack
Frontend
Next.js, TypeScript, TailwindCSS
Smart Contract
Rust, near-sdk
Blockchain
NEAR Protocol
Machine Learning
TensorFlow.js
How It Works
- 1
Connect Wallet
Link your NEAR account to participate
- 2
Register
Sign up as a participant in the federated learning process
- 3
Train Model
Contribute to model training using your local data
- 4
Earn Rewards
Receive incentives for successful contributions