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

Project Infrastructure

Machine learning on devices without data extraction
Use unused private data for machine learning in a single device while protecting privacy.

Release innovation from the periphery
Unleash innovation by creating a community of developers and competition in the marketplace of algorithms.

Idle processing capability to connect billions of devices
Use the processing power of all connected devices to run machine learning algorithms.

Massive participation in machine learning training
Create a community of algorithm trainers to improve algorithms through collective efforts.

Adoption and Interoperability of Multi-Blockchain
Cross-multi-chain communication to implement blockchain-independent protocols.

Return power to ecosystem owner
Avoid centralization and control of a few oligarchs through blockchain and tokenization.

Project Features

Search, request and list machine learning algorithms in DML Algo Marketplace;
Create a machine learning application request and select the relevant personal device owner for private data access;
Deploy machine learning algorithms into smart devices;
Run machine learning algorithms with idle processing capabilities in DML App;
Submit machine learning results from DML App (raw data remains in the device);
Generate a summary of machine learning predictive analysis reports;
Smart contract transactions in DML tokens for machine learning models.

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