Method and device for multi-party joint dimension reduction processing of private data
A privacy data and dimensionality reduction technology, applied in the fields of electronic digital data processing, digital data protection, computer security devices, etc., can solve the problems of redundancy, limitation, and inability to handle machine learning models, and achieve the effect of ensuring security without leakage
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[0063] The solutions provided in this specification will be described below in conjunction with the accompanying drawings.
[0064] figure 1 It is a schematic diagram of an implementation scenario of an embodiment disclosed in this specification. Such as figure 1 As shown, in the shared learning scenario, the data set is jointly provided by multiple holders 1, 2, ..., M (M is a natural number), and each holder owns a part of the data in the data set. The data set may be a training data set for training the neural network model, a test data set for testing the neural network model, or a data set to be predicted. The data set can include attribute characteristic data of business objects, and the business objects can be objects to be analyzed in various businesses such as users, merchants, commodities, and events.
[0065] There can be at least two data distributions here. One is that each holder owns the data of the same attribute item of different business objects. For exa...
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