Author(s)

Xiangfen Ma

Corresponding Author

Xiangfen Ma

ABSTRACT

In recent years, due to its increasingly mature and vigorous development, a large number of companies have made breakthroughs in machine learning applications, such as medicine, spatial information security and other applications. Big data analysis and publishing technology enables data analysts to learn the common laws of big data, among which statistical information analysis and machine learning are popular application fields. Based on big data and machine learning algorithm, this paper studies the legal protection mechanism of users' privacy information. In machine learning, security is to confirm that users' data information is properly used, thus protecting the use and improvement of machine learning. Because security and privacy are two completely different and closely related categories, security is also the cornerstone of protecting users' privacy. For distributed big data machine learning, multi-data owners use their own data sets to perform machine learning locally, and then share their local model parameters to obtain the global model, so as to realize joint learning based on big data.

KEYWORDS

Big data, Machine learning algorithm, User privacy, Legal protection mechanism of information