Efficient Server-Aided Personalized Treatment Recommendation with Privacy Preservation-Reference-Cited by-同舟云学术

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Efficient Server-Aided Personalized Treatment Recommendation with Privacy Preservation

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Zhu Dan¹,Zhu Hui¹,Huang Cheng²,Lu Rongxing³,Shen Xuemin²,Feng Dengguo⁴

Affiliation:

1. Xidian University,Department of Cyber Engineering,Xi'an,China

2. University of Waterloo,Department of Electrical and Computer Engineering,Waterloo,Canada

3. Faculty of Computer Science, University of New Brunswick,Fredericton,Canada

4. Institute of Software, Chinese Academy of Sciences,State Key Laboratory of Computer Science,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000647.pdf?arnumber=10000647

Reference17 articles.

1. Depth-First Search and Linear Graph Algorithms

2. Efficient and Privacy-Preserving Similarity Range Query over Encrypted Time Series Data

3. An efficient multi-party scheme for privacy preserving collaborative filtering for healthcare recommender system

4. Reliable medical recommendation systems with patient privacy

5. Graph Theory with Applications

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