Decentralized Machine Learning

Unleash untapped private data, idle processing power and crowdsourced algorithms

The DML Infrastructure


On-Device Machine Learning without Data Extraction

Utilize untapped private data in individual devices for machine learning with privacy protected

Unleash Innovation from Periphery

Unlock innovation by creating a developer community and competitions in algorithm marketplace

Connect Idle Processing Power of Billions Devices

Leverage processing power of all connected devices for running machine learning algorithms

Mass Participation in Machine Learning Training

Create an algorithm trainer community to improve algorithms through collective efforts

Multi-Blockchain Adoption and Interoperability

Communicate across multi-chains to achieve blockchain-agnostic protocol

Return Power to Ecosystem Owners

Avoid centralization and control by a few oligopolies via blockchain and tokenization

How DML Works



DML infrastructure will apply on-device machine learning, blockchain and federated learning technologies. It unleashes untapped data usage without extraction and idle processing power for machine learning. Algorithms will be crowdsourced from a developer community through the marketplace resulting innovation from periphery.



DML Workflow


DML Prototype Demo




Key Features of DML Prototype:

  • Searching, requesting and listing for machine learning algorithms in DML Algo Marketplace;
  • Creation of machine learning application requests and selection of relevant individual device owners for private data access;
  • Deployment of machine learning algorithms into smart devices;
  • Running of the machine learning algorithms with idle processing power in the DML App;
  • Submission of machine learning results (and raw data remains within the devices) from the DML App;
  • Generation of aggregated machine learning prediction analytics reports;
  • Smart contract transactions in DML Tokens for machine learning models.

Partners and Contributors


Roadmap


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