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Decentralized Machine Learning (DML) ICO

Past ICO
Feb 08, 2018 – Apr 12, 2018

Decentralized Machine Learning aims to create a blockchain-based decentralized machine learning protocol and ecosystem.

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Decentralized Machine Learning (DML) ratings

ICOrating.com Decentralized Machine Learning (DML) icorating ICObench.com Decentralized Machine Learning (DML) icobench 2.6 / 5
Hype score Medium ICOmarks.com Decentralized Machine Learning (DML) icomarks NA
Risk score Medium TrackICO.io Decentralized Machine Learning (DML) trackico 4.6 / 5
Investment rating NA ICOholder.com Decentralized Machine Learning (DML) icoholder 0 / 5
Our rating
4.8

Overview

Project industry IT & Software
Product type Platform
Decentralized Machine Learning (DML) ICO White Paper White Paper Decentralized Machine Learning (DML) ICO Onepager Onepager

Features

Decentralized Machine Learning will create a protocol and ecosystem through:

  • utilizing untapped private data for machine learning while protecting data privacy,
  • connecting and leveraging idle processing power of individual devices for machine learning,
  • 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,
  • improving and correcting existing machine learning algorithms and models through crowdsourced model trainers,
  • creating a DML utility token and leveraging on blockchain smart contract technology that connects potential contributors in machine learning from all aspects.
  • ICO Details

    Raised: 10,425,492 USD

    Legal

    ICO Platform: Ethereum
    Country limitations: China, Hong Kong, Singapore, Taiwan, United States

    Token info

    Ticker: DML
    Type: Utility-token
    Token standard: ERC-20
    Token price in USD: 1 Token = 0.170000 USD
    Accepted currencies: ETH
    Token distribution:
    36% - Sale
    19.5% - Team. Advisors & Early Contributors
    15% - Reserves
    9.9% - Ecosystem Bonus for Public Contributors
    8.8% - Strategic Business & Research Partners
    8.3% - Debug, Development & Protocol Upgrade Bonus for Developer Community
    2.5% - PR & Marketing Partners
    Funds allocation:
    50% - Project Development
    15% - Marketing & Community Building
    12.5% - Research
    11.1% - Business Development
    8.1% - Operation & Reserves
    3.3% - Legal & Compliance

    Decentralized Machine Learning (DML) Roadmap

    1
    February 2016

    Google published the research paper on federated learning

    2
    March 2016

    AlphaGo beat Lee Sedol in Go

    3
    March 2017

    Idea generation of decentralization in machine learning

    4
    April 2017

    Google published research blog in federated learning

    5
    May 2017

    Development of proof of concept

    6
    September 2017

    Idea generation of decentralization in algorithms

    7
    December 2017

    Whitepaper published and DecentralizedML.com online

    8
    February 2018

    Release of DML Protocol Gen 0 (DML Algo Marketplace) Prototype

    9
    April 2018

    Token Generation Event and Launch of DML Protocol Gen 0 (DML Algo Marketplace) Beta

    10
    May 2018

    DML Algo Marketplace online

    11
    June 2018

    Release of DML Protocol Gen 1 alpha (decentralized machine learning on-device private data)
    Research of state channels for increasing DML scalability

    12
    July 2018

    First DML Algo competition to grow and support developers’ community
    Release of DML Protocol Gen 1 beta

    13
    September 2018

    DML Protocol Gen 1 online

    14
    December 2018

    Release of customized state channels for increasing DML scalability

    15
    Q1 2019

    Release of DML Protocol Gen 2 beta (decentralized machine learning on-device private data with third-party service and data access)
    Research of multi-chain support and interoperability

    16
    Q2 2019

    DML Protocol Gen 2 online

    17
    July 2019

    Release of DML Protocol Gen 3 beta (decentralized machine learning on-device private data with third-party service and data access and mobile sensors/ IoT connection capability)

    18
    September 2019

    DML Protocol Gen 3 online

    19
    Q4 2019

    Research of general purpose API start for expanding usage of DML marketplace from machine learning to general applications

    20
    Q1 2020

    Research of new blockchain supporting mass adaption of general purpose decentralized applications and data privacy

    21
    Q2 2020

    Release of DML Protocol Gen 4 beta (Support deployment of general applications)

    22
    Q4 2020

    DML Protocol Gen 4 online

    Project team

    Blockchain Developer in Decentralized Machine Learning (DML) - 1
    Victor Cheung
    Blockchain Developer
    linkedin
    Project Lead Director in Decentralized Machine Learning (DML) - 2
    Michael Kwok
    Project Lead Director
    linkedin
    Blockchain and Software Developer in Decentralized Machine Learning (DML) - 3
    Jacky Chan
    Blockchain and Software Developer
    linkedin
    Machine Learning Engineer in Decentralized Machine Learning (DML) - 4
    Wilson Lau
    Machine Learning Engineer
    linkedin
    System Security Engineer in Decentralized Machine Learning (DML) - 5
    Patrick Sum
    System Security Engineer
    linkedin

    Advisors

     in Decentralized Machine Learning (DML) - 6
    Pascal Lejolif
    linkedin
     in Decentralized Machine Learning (DML) - 7
    Guillaume Huet
    linkedin
     in Decentralized Machine Learning (DML) - 8
    Michael Edesess
    linkedin
     in Decentralized Machine Learning (DML) - 9
    Roderik van der Graaf
    linkedin
     in Decentralized Machine Learning (DML) - 10
    Kyle Wong
    linkedin
     in Decentralized Machine Learning (DML) - 11
    Scott Christensen
    linkedin
     in Decentralized Machine Learning (DML) - 12
    Steven Cody Reynolds
    linkedin
     in Decentralized Machine Learning (DML) - 13
    Matthew Slipper
    linkedin
     in Decentralized Machine Learning (DML) - 14
    Jesmer Wong
    linkedin
     in Decentralized Machine Learning (DML) - 15
    Eugene Tay
    linkedin
     in Decentralized Machine Learning (DML) - 16
    Eric Byron
    linkedin
     in Decentralized Machine Learning (DML) - 17
    Fabrice Fischer
    linkedin

    Social media

    Web-site Reddit Medium YouTube Telegram Twitter Facebook github

    User rating:

    5/5 ( 2 )

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