Decentralized Machine Learning (DML) is a comprehensive infrastructure that enables on-device machine learning without compromising data privacy. By leveraging the idle processing power of individual devices, DML unlocks the untapped potential of device data for various business intelligence, market...See more
Headquarters:
Singapore
Company Type:
SME
Company size:
1-10 Employees
Year Founded:
2017 (9 years)
Address:
SINGAPORE, SG
Employees by Department
- The Rest (1)
- Total (1)
Key Decision Makers
Insight
The company is owned by individual shareholder(s), it has no corporate shareholder.
Financials
LOW
spending power
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Frequently Asked Questions (FAQ)
- How long has DECENTRALIZED MACHINE LEARNING been operating for?
- What is the funding status of DECENTRALIZED MACHINE LEARNING?
- Where is DECENTRALIZED MACHINE LEARNING's headquarter?
- What DECENTRALIZED MACHINE LEARNING's spending power?
- Does DECENTRALIZED MACHINE LEARNING have a presence in the domain it operates in?
