DML (Decentralized Machine Learning) infrastructure will be applied to device machine learning, blockchain and federated learning technologies. It frees up untapped data usage without idle processing power to extract and process machine learning. Algorithms will be implemented by the developer community through the market, resulting in innovation from the periphery.

Project infrastructure

On-device machine learning without data extraction
Leverage untapped private data for machine learning in a single device while preserving privacy.

Unleash innovation from the periphery
Unleash innovation by creating a developer community and algorithmic market competition.

Idle Processing Power of Billions of Connected Devices
Harness the processing power of all connected devices to run machine learning algorithms.

Participate in machine learning training at scale
Create a community of algorithm trainers to improve algorithms through collective efforts.

Multi-blockchain adoption and interoperability
Communicate across multiple chains to implement blockchain-agnostic protocols.

Bring Power Back to Ecosystem Owners
Avoid centralization and control by a few oligarchs through blockchain and tokenization.

Project Features

Search, request and list machine learning algorithms in the DML Algo Marketplace;
Create machine learning application requests and select relevant individual device owners for private data access;
Incorporate machine learning algorithms Deploy to smart devices;
run machine learning algorithms with idle processing power in DML App;
submit machine learning results from DML App (raw data remains on device);
generate aggregated machine learning predictions Analytical reports;
Smart contract transactions in DML tokens for machine learning models.

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