一种隐私保护的BP神经网络的设计

A Design of a Privacy-Preserving BP Neural Network

1. Background Introduction

In the era of big data, artificial intelligence (AI) has become an essential tool for businesses and organizations to gain insights, make predictions, and automate decision-making processes. One of the most popular AI techniques is the Backpropagation (BP) neural network, which is widely used for various applications such as image recognition, speech recognition, and natural language processing. However, the BP neural network has a significant drawback: it requires a large amount of data, which may contain sensitive information, leading to privacy concerns.

In this article, we will discuss a desig