Decentralized Machine Learning

Decentralized Machine Learning

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Utilize untapped private data in individual devices for machine learning with privacy protected.<br /> <br /> Unlock innovation by creating a developer community and competitions in algorithm marketplace.<br /> <br /> Leverage processing power of all connected devices for running machine learning algorithms.
General
Website: Visit
White paper: Read
Dates: TBA
Token info
Ticker: DML
Total supply: 272,937,006.00000 DML
Financial
ICO Price: ≈ 0.144516 USD
Screenshots taken on 31 May 2018
February 2016
Google published the research paper on federated learning<br /> <br />
March 2016
AlphaGo beat Lee Sedol in Go<br /> <br />
March 2017
Idea generation of decentralization in machine learning<br /> <br />
April 2017
Google published research blog in federated learning<br /> <br />
May 2017
Development of proof of concept<br /> <br />
September 2017
Idea generation of decentralization in algorithms<br /> <br />
December 2017
Whitepaper published and DecentralizedML.com online<br /> <br />
February 2018
Release of DML Protocol Gen 0 (DML Algo Marketplace) Prototype<br /> <br />
April 2018
Token Generation Event and Launch of DML Protocol Gen 0 (DML Algo Marketplace) Beta<br /> <br />
May 2018
DML Algo Marketplace online<br /> <br />
June 2018
Release of DML Protocol Gen 1 alpha (decentralized machine learning on-device private data)<br /> <br /> Research of state channels for increasing DML scalability<br /> <br />
July 2018
First DML Algo competition to grow and support developers’ community<br /> <br /> Release of DML Protocol Gen 1 beta<br /> <br />
September 2018
DML Protocol Gen 1 online<br /> <br />
December 2018
Release of customized state channels for increasing DML scalability<br /> <br />
Q1 2019
Release of DML Protocol Gen 2 beta (decentralized machine learning on-device private data with third-party service and data access)<br /> <br /> Research of multi-chain support and interoperability<br /> <br />
Q2 2019
DML Protocol Gen 2 online<br /> <br />
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)<br /> <br />
September 2019
DML Protocol Gen 3 online<br /> <br />
Q4 2019
Research of general purpose API start for expanding usage of DML marketplace from machine learning to general applications<br /> <br />
Q1 2020
Research of new blockchain supporting mass adaption of general purpose decentralized applications and data privacy<br /> <br />
Q2 2020
Release of DML Protocol Gen 4 beta (Support deployment of general applications)<br /> <br />
Q4 2020
DML Protocol Gen 4 online<br /> <br />
Victor Cheung
Blockchain Developer
Participates in a number of projects
Michael Kwok
Project Lead Director
Participates in a number of projects
Jacky Chan
Blockchain and Software Developer
Participates in a number of projects
Wilson Lau
Machine Learning Engineer
Participates in a number of projects
Patrick Sum
System Security Engineer
Participates in a number of projects

Advisors (12)

Pascal Lejolif
Participates in a number of projects
Guillaume Huet
Participates in a number of projects
Michael Edesess
Participates in a number of projects
Roderik van der Graaf
Participates in a number of projects
Kyle Wong
Participates in a number of projects
Scott Christensen
Participates in a number of projects
Steven Cody Reynolds
Participates in a number of projects
Matthew Slipper
Participates in a number of projects
Jesmer Wong
Participates in a number of projects
Eugene Tay
Participates in a number of projects
Eric Byron
Participates in a number of projects
Fabrice Fischer
Participates in a number of projects
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