We currently live in an era of rapid digital development. This is demonstrated most clearly by the technological strides we have made in fields such as artificial intelligence and machine learning.

What Is Decentralized Machine Learning?

Decentralized Machine Learning (DML) is an all new blockchain protocol that has been designed to maximize the reach of “untapped private data” so that it can be used to facilitate machine learning development. When looked at more closely, we can also see that DML makes use of an incentive driven economy that helps reward customers for protecting data privacy.

From a technical standpoint, we can see that the DML protocol allows for the use of private data as well as third party processing power to foster machine learning. Not only that, it also employs algorithms which are then directly run on individual devices by utilizing their idle processing power.

Decentralized Machine Learning Aspects

Marketplace:

To help promote the distribution of quality information and data, DML makes use of a native Marketplace. It also avails the assistance of machine learning developers who are familiar with the blockchain space and wish to list their proprietary algorithms for sale.

Open:

The platform can be used by anyone who wishes to apply usable dApps and conduct predictions for machine learning purposes.

Search And Request:

Customers can send in a “location request” to platform devs in order to find a suitable algorithm for themselves.

Transparency:

Owing to its use of a decentralized governance model, DML provides users with an extremely high level of security.

Decentralized Machine Learning Benefits

Automated:

The DML protocol makes use of blockchain smart contracts along with a distributed trustless system to connect network participants with one another. All of this is done without the use of a centralized third party.

Rewards:

All of the users who contribute to the platform are rewarded accordingly via the use of native DML tokens.

Interconnectivity:

Owing to its unique architecture, the DML protocol has the potential to connect a large number of digital devices with thousands of developers so as to facilitate machine learning development.

Ownership:

The platform ensures that it provides decentralized ownership of data and artificial intelligence to the relevant parties in a transparent fashion.

Interoperability:

The DML protocol can help bring together developers from all over the world to create ground-breaking innovations.

No Single Owner:

The Decentralized machine learning (DML) protocol is not owned or operated by any one individual or organization.

Future Ready:

The infrastructure for this protocol is scalable and can be used to accommodate a large number of internal transactions at any given time.

Decentralized Machine Learning DML ICO Details

All transactions within the DML protocol are facilitated through the use of a native currency. In all, a total of 330,000,000 DML have been created. The distribution of these tokens will be done as follows:

  • 52.4% of the entire pool will be made available to the public in some form or the other.
  • 19.5% will be distributed amongst team members, advisors etc.
  • 15% will be used for the creation of a reserve
  • The rest of the tokens will be used for marketing activities as well as strategic investments.

Revenue Allocation

  • 50% of the funds will go towards platform development
  • 15% will go towards community building
  • The rest of the money will be used for legal and research purposes.

For any other queries, users can write to company representatives via email.

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