Applications of privacy preserving computing in biomedical areas

doi:10.12267/j.issn.2096-5931.2022.05.008

Abstract

Abstract:

The trend of medical informatization has further enriched the dimension and scale of biomedical data. However, due to the concerns of compliance, privacy-protection and data owner’s benefits, these data are usually stored in different institutions. Therefore, the intrinsic data value within each institution cannot be fully released due to the data isolation. Driven by these factors, privacy preserving computating, which is considered to be one of the most optimal technical solutions, has been rapidly developed and widely applied in many different areas. In this paper, we will introduce privacy preserving computating in Biomedical Areas from the perspective of technology and practical applications.

Key words: privacy preserving computing, federated learning, trusted execution environment, biomedicine

CLC Number:

TP309.2

CHENG Rufan, WANG Lin, GUO Lanting, ZHENG Hao, SUN Qi, LI Zhi, WANG Shuang. Applications of privacy preserving computing in biomedical areas[J]. Information and Communications Technology and Policy, 2022, 48(5): 60-67.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2022.05.008

http://ictp.caict.ac.cn/EN/Y2022/V48/I5/60

Figures/Tables 3

References 12

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