Privacy protection method and system for financial data sharing based on federated learning

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United States of America

PATENT NO 12132711
APP PUB NO 20230328043A1
SERIAL NO

17941451

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Abstract

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A privacy protection method and system for financial data sharing based on federated learning are provided. In recent years, due to the restrictions of data security and privacy protection laws and regulations, it is difficult to share data across institutions or departments. In order to make data transfer and transaction between different entities can be achieved without violating the national laws on data privacy and data security, the privacy protection method and system for financial data sharing based on federated learning is provided. A privacy collection intersection technology is adopted, so that two institutions, which may have many differences in business, but most of their customer groups are the same, jointly train a learning model.

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Patent Owner(s)

Patent OwnerAddress
ZHEJIANG GONGSHANG UNIVERSITY310035 ZHEJIANG GONGSHANG UNIVERSITY 149 TEACHERS ROAD ZHEJIANG HANGZHOU HANGZHOU CITY ZHEJIANG PROVINCE 310035
ZHEJIANG UNIVERSITY CITY COLLEGENO 50 HUZHOU STREET GONGSHU DISTRICT HANGZHOU CITY ZHEJIANG PROVINCE 310015 HANGZHOU CITY ZHEJIANG PROVINCE 310015
BEIHANG HANGZHOU INNOVATION INSTITUTE YUHANGXIXI OCTAGON CITY YUHANG DISTRICT HANGZHOU

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Han, Song Hangzhou, CN 94 2831
Luo, Xiling Hangzhou, CN 1 0
Ren, Siqi Hangzhou, CN 5 1
Wang, Luyao Hangzhou, CN 14 24
Wu, Minghui Hangzhou, CN 12 513
Zhao, Shuai Hangzhou, CN 84 187

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