Decentralized Machine Learning

Overview of Decentralized Machine Learning

  • Decentralized Machine Learning (DML) protocol is designed to expand the reach to untapped private data and unleash their potential to facilitate machine learning development while providing economic incentives and protecting data privacy.
  • Decentralized Machine Learning unleashes untapped private data, idle processing power and crowdsourced algorithms development by on-device machine learning, blockchain and federated learning technologies.
  • Decentralized Machine Learning helps conciliating the need for company to use customer data to stay competitive and the privacy awareness that their customers might have.
  • Decentralized Machine Learning (DML) is the #1842 largest cryptocurrency by market cap as of May 06, 2021, with a market cap of $765,332.70 USD.
  • Decentralized Machine Learning enables privacy preserving training on remote data models to enable new forms of collaboration.
  • Decentralized Machine Learning’s market cap currently sits at $765,333.00 USD, holding up for a market cap rank at #1842.
  • Decentralized Machine Learning price today is $0.00280406 USD, which is up by 3.74% over the last 24 hours.
  • Decentralized Machine Learning (DML) is a cryptocurrency token and operates on the Ethereum platform.
  • Decentralized Machine Learning (DML) is trading at $0.0028 USD, increasing by 3.74% since yesterday.
  • Decentralized Machine Learning ICO was conducted from 16 Apr to 22 Apr 2018.
  • What Is Decentralized Machine Learning's Price Today?

    Decentralized Machine Learning (DML) is trading at $0.0028 USD, increasing by 3.74% since yesterday.Decentralized Machine Learning has traded $0 USD in the last 24 hours.

    What are the Risks of Centralized AI Solutions?

    The current AI solutions are completely centralized and involve a lot of risks for the companies that implement any of them.Some of those risks are:
    The Rich Get Richer Problem: Many of the AI solutions in the market are provided by large companies that control huge datasets.These datasets keep increasing constantly as the more data they own, the more datasets they produce.Dataset Owners Influence Populations: Centralized AI systems can influence populations and direct knowledge based on their willing.For example, imagine the influence that political campaigns launched on Google, Facebook, Twitter, etc.have and how they can impact the outcome of an election.

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    What is Decentralized Artificial Intelligence (AI)?

    Decentralized AI is one of the most promising trends in the AI space.These models provide the opportunity to large companies that control huge datasets to be independent.Blockchain technology has contributed a lot to the development of this trend.It has paved the way for a decentralized ecosystem where data scientists, data providers, consumers, and all other involved parties collaborate in order to create AI architectures without the need of a centralized control authority.

    How Decentralized AI can be Achieved?

    Many subsets of cryptography have been already developed, which helps the empowerment of a Decentralized AI environment.These techniques offer ways of distributing datasets among many counterparts securely and ensuring the confidentiality of data.

    How Many Decentralized Machine Learning Coins Are There?

    There are currently 272,937,007 Decentralized Machine Learning coins circulating out of a max supply of 272,937,007.

    What Next?

    In the next articles, we will further explore different components of Decentralized Machine Learning protocol, including the participants, the function of decentralized nodes and the blockchain smart contracts.You will also meet our team and understand why we are building DML Protocol.

    How to find new cryptocurrency projects?

    One of the biggest challenges in the crypto space is to find the right projects at the right time.There are hundreds of projects launched…

    How Much Did Decentralized Machine Learning Raise?

    The Decentralized Machine Learning ICO (initial coin offering) raised $3,230,500 USD by selling 61326423.52941176 Decentralized Machine Learning tokens at a price of $0.17 USD.The Decentralized Machine Learning ICO began on April 16, 2018 and ended on April 22, 2018.Key team members during the Decentralized Machine Learning ICO included Victor Cheung, Michael Kwok, and Jacky Chan.

    History of Decentralized Machine Learning