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Decentralized Machine Learning

Unleash Innovation from Periphery

Utilize untapped private data in individual devices for machine learning with privacy protected. Unlock innovation by creating a developer community and competitions in algorithm marketplace. Leverage processing power of all connected devices for running machine learning algorithms.

2.3
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Benchy 2.3
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DML
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About Decentralized Machine Learning

Our goal is to create a blockchain-based decentralized machine learning protocol and ecosystem through:

  1. utilizing untapped private data for machine learning while protecting data privacy,
  2. connecting and leveraging idle processing power of individual devices for machine learning,
  3. encouraging involvement from the periphery by creating a developer community and algorithm marketplace that promotes innovation to build machine learning algorithms that match practical utilities,
  4. improving and correcting existing machine learning algorithms and models through crowdsourced fine-tuning model trainers,
  5. creating a new DML utility token and leveraging on blockchain smart contract technology to provide a trustless and middle-man free platform that connects potential contributors in machine learning from all aspects.
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