Yunhong data privacy computing platform

Advanced privacy-preserving computing platform to build a bridge for data security

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Solutions

The software service product integrates privacy protection technology and big data processing capabilities, and introduces a federated learning mechanism, which has the level of industrial application and realizes the convenience of plug and play. The product provides multiple functional versions, namely federated learning edition, concealment query edition, and full-featured edition. In terms of delivery methods, it provides a variety of options, including software package deployment, and the overall solution based on Yunhong hyper-converged all-in-one machine + software package.

Architecture Demonstration

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Business Challenge

Privacy Protection

When handling sensitive data, how to avoid leaking personal privacy or trade secrets, and comply with data protection regulations

Data silos

It is difficult to communicate data between different institutions or departments, so how to realize the joint analysis and utilization of data without directly sharing the original data

Intelligent upgrades

How to use advanced technologies such as federated learning to improve the intelligence level of data analysis and promote business innovation while protecting privacy

Flexible deployment

How to meet the diversified deployment needs of enterprises of different sizes and needs for data services, and ensure the flexibility and scalability of the solution

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Application Scenarios

Financial scenario

In the process of digital transformation and intelligence of financial business, financial institutions such as banks and insurance companies need a large number of big data applications such as internal and external data fusion query, multi-party computing, and statistics to improve financial intelligence and operational efficiency. With the help of Yunhong privacy computing platform, it can help financial enterprises solve the problem of data security sharing and interaction, give full play to the value of data, effectively improve financial intelligence, and enhance market competitiveness.

Government affairs scenario

Realize a digital twin city that can be simulated and analyzed, predicted and deduced, so that city managers have the operational capabilities of intelligent prediction and real-time decision-making.

For the city brain, it breaks the data barriers between various departments of urban operation and ensures the privacy protection of sensitive information of urban operation, and realizes intelligent and real-time response based on the safe and open sharing of big data of urban operation and management.

Medical scenarios

Distributed encrypted computing and machine learning derive final statistical results and analysis models to effectively protect personal privacy. It can solve the problem of medical research data sharing and privacy protection.

Solution Advantages