
Decentralized Machine Learning
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.
Unlock innovation by creating a developer community and competitions in algorithm marketplace.
Leverage processing power of all connected devices for running machine learning algorithms.
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- Other
Category
Roadmap
2020
DML Protocol Gen 4 online<br />
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2020
Release of DML Protocol Gen 4 beta (Support deployment of general applications)<br />
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2020
Research of new blockchain supporting mass adaption of general purpose decentralized applications and data privacy<br />
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2019
Research of general purpose API start for expanding usage of DML marketplace from machine learning to general applications<br />
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2019
DML Protocol Gen 3 online<br />
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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 />
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2019
DML Protocol Gen 2 online<br />
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2019
Release of DML Protocol Gen 2 beta (decentralized machine learning on-device private data with third-party service and data access)<br />
Research of multi-chain support and interoperability<br />
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Research of multi-chain support and interoperability<br />
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2018
Release of customized state channels for increasing DML scalability<br />
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2018
DML Protocol Gen 1 online<br />
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2018
First DML Algo competition to grow and support developers’ community<br />
Release of DML Protocol Gen 1 beta<br />
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Release of DML Protocol Gen 1 beta<br />
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2018
Release of DML Protocol Gen 1 alpha (decentralized machine learning on-device private data)<br />
Research of state channels for increasing DML scalability<br />
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Research of state channels for increasing DML scalability<br />
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2018
DML Algo Marketplace online<br />
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2018
Token Generation Event and Launch of DML Protocol Gen 0 (DML Algo Marketplace) Beta<br />
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2018
Release of DML Protocol Gen 0 (DML Algo Marketplace) Prototype<br />
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2017
Whitepaper published and DecentralizedML.com online<br />
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2017
Idea generation of decentralization in algorithms<br />
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2017
Development of proof of concept<br />
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2017
Google published research blog in federated learning<br />
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2017
Idea generation of decentralization in machine learning<br />
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2016
AlphaGo beat Lee Sedol in Go<br />
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2016
Google published the research paper on federated learning<br />
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People
TEAM

Patrick Sum
System Security Engineer

Wilson Lau
Machine Learning Engineer

Jacky Chan
Blockchain and Software Developer

Michael Kwok
Project Lead Director

Victor Cheung
Blockchain Developer
Advisors

Fabrice Fischer

Eric Byron

Eugene Tay

Jesmer Wong

Matthew Slipper

Steven Cody Reynolds

Scott Christensen

Kyle Wong

Roderik van der Graaf

Michael Edesess

Guillaume Huet

Pascal Lejolif
Legal
Incorporation
There is a registered company for this ICO
Country
Singapore
KYC
No
Crowdsale
- (DML)
- Blockchain: Ethereum
- Whitelist: No