Learning system and learning method

A learning system updating a model on the basis of learning data, the system comprising:

• a plurality of client devices;
• and
• a training server,
• wherein the training server manages a common model and individual data,
• the client device manages the individual data,
• the client device and the training server
• generate an individual model different for each individual from the common model and the individual data, and
• share the common model and the individual model with the training server and the client device,
• the client device receives the common model from the training server, updates the common model and the individual model on the basis of the individual data, and transmits the updated common model and individual model to the training server, and
• the training server
• creates the individual model from the individual data and the common model, and updates the common model and the individual model on the basis of the individual data, and
• classifies the common model and the individual model transmitted from the plurality of client devices on the basis of the individual model corresponding to the individual data, and updates the common model and the individual model according to a classification result.

A learning method for updating a model on the basis of learning data by using a learning system including a plurality of client devices and a training server, the method comprising:

• allowing the training server to manage a common model and individual data;
• allowing the client device to manage the individual data;
• allowing the client device and the training server to generate an individual model different for each individual from the common model and the individual data;
• allowing the client device and the training server to share the common model and the individual model with the training server and the client device;
• allowing the client device to receive the common model from the training server, to update the common model and the individual model on the basis of the individual data, and to transmit the updated common model and individual model to the training server;
• and
• allowing the training server to create the individual model from the individual data and the common model, to update the common model and the individual model on the basis of the individual data, to classify the common model and the individual model transmitted from the plurality of client devices on the basis of the individual model corresponding to the individual data, and to update the common model and the individual model according to a classification result.