METHOD OF GENERATING DEEP LEARNING MODEL FOR USER CHARACTERISTIC ANALYSIS USING FEDERATED LEARNING

摘要

A deep learning model generation method for user characteristic analysis using federated learning according to an embodiment of the present invention comprises the steps of: a user terminal receiving a compressed CNN model and a VAE model from a server; When it is determined that the viewer is watching, receiving a user's behavior from a camera module and predicting a preference according to the user's behavior on the image data through the compressed CNN, the user terminal predicting the VAE model and the CNN prediction preference After calculating the user terminal VAE loss value using , providing the calculated user terminal VAE loss value to an edge, after the edge trains the VAE model using the user terminal VAE loss value, the learned providing the VAE model to the server and the server integrating the trained VAE model and the pre-generated VAE model.