 | Decentralized Machine Learning (DML)ICO Decentralized Machine Learning aims to create a blockchain-based decentralized machine learning protocol and ecosystem. IMPORTANT: By investing in this business you agree to ourDisclaimer. All information including our rating, is provided merely for informational purposes. CryptoTotem does not provide investment advice. |
Overview
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OpenWhat is Decentralized Machine Learning
Mission Statement
Our goal is to create a blockchain-based decentralized machine learning protocol and ecosystem through:
We aim to create a decentralized machine learning protocol and ecosystem, where customers, such corporate customers, research institutions, government and non-government organizations or even individuals, who wish to run analytical predictions can acquire appropriate algorithms from crowdsourced developers through the DML marketplace. With the aid of DML protocol, the machine learning algorithms can be run on the untapped private data and leverage the idle processing power of individual devices resulting in more precise predictions. Furthermore, the developers can improve their algorithm and its predictability by the crowdsourced model trainers in the DML protocol.
DetailsPublic sales: Feb 08, 2018 - Apr 12, 2018Token supply: 272,937,007 DML Raised: 10,425,492 USD LegalBlockchain Platform: EthereumCountry limitations: China, Hong Kong, Singapore, Taiwan, United States | Token infoTicker: DMLType: Utility-token Token standard: ERC-20 Token price in USD: 1 DML = 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 Roadmap
Google published the research paper on federated learning
AlphaGo beat Lee Sedol in Go
Idea generation of decentralization in machine learning
Google published research blog in federated learning
Development of proof of concept
Idea generation of decentralization in algorithms
Whitepaper published and DecentralizedML.com online
Release of DML Protocol Gen 0 (DML Algo Marketplace) Prototype
Token Generation Event and Launch of DML Protocol Gen 0 (DML Algo Marketplace) Beta
DML Algo Marketplace online
Release of DML Protocol Gen 1 alpha (decentralized machine learning on-device private data)
Research of state channels for increasing DML scalability
First DML Algo competition to grow and support developers community
Release of DML Protocol Gen 1 beta
DML Protocol Gen 1 online
Release of customized state channels for increasing DML scalability
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
DML Protocol Gen 2 online
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)
DML Protocol Gen 3 online
Research of general purpose API start for expanding usage of DML marketplace from machine learning to general applications
Research of new blockchain supporting mass adaption of general purpose decentralized applications and data privacy
Release of DML Protocol Gen 4 beta (Support deployment of general applications)
DML Protocol Gen 4 online
Project team
Advisors
Social media
