DML and its Market Potential
• Application of Big Data for Machine Learning
• Huge Market Potential in Existing Data
• Unlock Massive Market Potential of Untapped Private Data
• Utilize Decentralized and Idle Processing Power
• Unleash Creativity to Build ML Algorithms and Models with Practical Utility
Solutions
• Apply Decentralized Algorithm & Data for ML Prediction
• Deploy Machine Learning Algorithm for Practical Prediction
• Customers Acquire Algorithms from Marketplace
• Use of Smart Contracts to ensure Governance among Users
• Decentralized Architecture via Decentralized Node Deployment
• Distribute Algorithm to Eligible Devices
• Distributing Node to Identify Devices for Algorithm Distributions
• Auction Mechanism to Prioritize Machine Learning Sequence
• Run Algorithms on Eligible Data Owners’ Devices
• Run Algorithms directly on Devices without Data Extraction
• Deploy Algorithms on Individuals’ Authorized Dataset
• Share Encrypted Prediction Results without Data Extraction
• Federated Nodes to Aggregate Prediction Results
• Average Prediction Results by Federated Learning
• Validate Prediction Result Quality against Requirement
• Report Node to Produce Final Report & Store in IPFS
• Prediction Report Retrieval and Smart Contract Execution
• Improve Existing ML Algorithm via Crowd Informed Fine-tuning
• Distribute to Voluntary Trainers for Algorithms Improvement
• Adaptive Test Approach: Common data as Control Group
• Federated Node to Aggregate Weighted Fine-tuning Update
• Algorithm Refining Node to form Fine-Tuned Algorithm
To facilitate the DML ecosystem, smart contracts are utilized free of middlemen as a trustless tool. It is in perspective of the following people
• Customers:
Customers, who request for machine learning service, to pay DML tokens to run machine learning algorithm on data owners’ authorized dataset in their individual devices. The decentralized nodes will facilitate by distributing algorithms and collecting, aggregating and averaging the local prediction results to produce the final prediction report.
• Machine Learning Developers:
Machine learning developers, who sell their algorithm on the DML Marketplace, to get paid by customers in DML tokens.
• Model Trainers
Model trainers, who correct and improve the machine learning model, to be rewarded, by the customers or machine learning developers, who solely want to improve their algorithm for further use.
Blockchain Based Smart Contract
• Smart Contract for Machine Learning on Untapped Data
• Smart Contracts for DML Marketplace Activities
• Acquire ML Algorithms for Self or Business Predictions
• Crowd Fine-tuning to Improve Existing ML Algorithms
Benefits
Unleash Creativity via Innovation from Periphery
DML Algorithm Marketplace creates a developer’s community where developers have the capacity to work as a freelancer to build and market their machine learning algorithms in return for incentives. Innovation and creativity to build machine learning algorithms are unleashed as no approval by tech giants or any other parties with vested interest is needed. Better algorithms can be developed and evolved due to open competition in a free market ecosystem.
Open Market to Sell Machine Learning Algorithms
DML algorithm Marketplace provides developers an alternative mean to market their algorithms to potential algorithm buyers in an open market that are free from middleman control and costs. The transaction will be executed in smart contract with clear written terms and free from default risk.
External Source to Fine-tune Machine Learning Algorithms
Through DML Marketplace, developers have additional means to connect with numerous individual devices owners who can support the manual exercises to fine-tune the algorithms and trained the dataset without the need to hire in-house limited resources. This is another breakthrough and improvement in machine learning by connecting and engaging model trainers in the crowd.
Unlock Economic Value of Private Data with Privacy Protection
Through DML Protocol, the economic value of the private data is unlocked. Data owners are incentivized to allow machine learning algorithms to run on their private data in return of DML tokens without leakage of their private data to any third parties. Data privacy is protected as only the prediction results will be collected and aggregated through the decentralized nodes while the original source of private data will be kept within their individual devices. Therefore, data owners can participate in the machine learning development with economic incentives while data privacy concerns are addressed.
Make Use of Idle Processing Power
DML sees exponential improvement in processing power in smart devices with dedicated chips for on-device artificial intelligence and machine learning. While we usually do not actively use our devices 24/7, the underutilized processing power can now be used to run machine learning algorithms and be rewarded along with the private dataset usage.
Certain Data and Device Owner also acting as Model Trainer
While DML protocol design aims to run and make prediction in a hassle-free and automatic way to encourage mass participation, some data and device owners may be interested to walk an extra mile by acting as model trainers through correcting the labels of the machine algorithm in their spare time. The effort contributes to the machine learning development and earn extra DML token.
Reducing the Bar for Applying Machine Learning Algorithm
DML Algorithm Marketplace creates an open market that is available for anyone to acquire machine learning algorithms at a market-driven cost that are free from middleman control and costs. As a result, even small and medium enterprises, research institutions or even individuals may also be able to afford accessing talented resources from all over the world and acquiring the algorithms for business predictions or other usages at a market-driven cost. Furthermore, customers can request tailor-made machine learning algorithms for specific predictions without going through a middleman, if the algorithm required is not in the current list or does not match the exact required criteria. As such, the marketplace could always meet the latest demand in the market.
Better Prediction Results with the Use of Untapped Data
The DML Protocol and Algorithm Marketplace can help the customers to acquire machine learning algorithms for their business predictions. They can also generate more accurate predictions by applying the algorithms to untapped data stored in individual electronic devices, which is inaccessible before, at a market-driven cost and free from middleman by adopting smart contract. Comparing to traditional market research such as conducting survey and focus group, prediction from the DML protocol could be much faster and timely, unbiased, cost-effective, more accurate and relevant. DML protocol provides a powerful tool to identify market trends and sentiments are learnt.
