Privacy-Preserving Deep Learning for Erythemato-Squamous Disease Classification-Reference-Cited by-同舟云学术

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Privacy-Preserving Deep Learning for Erythemato-Squamous Disease Classification

Published:2023-08-28 Issue: Volume:15 Page:1-8
ISSN:
Container-title:2023 IEEE Smart World Congress (SWC)
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Author:

Wang Yuhang¹,Zhang Hanlin¹,Lin Jie²,Kong Fanyu³,Yu Leyun⁴

Affiliation:

1. Qingdao University,College of Computer Science and Technology,Qingdao,China,266071

2. Xian Jiaotong University,School of Computer Science and Technology,Xian,China,710049

3. Shandong University,School of Computer Science and Technology,Jinan,China,250100

4. JIC IOT CO., LTD,Nanchang,China,330000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447020/10448518/10448834.pdf?arnumber=10448834

Reference29 articles.

1. Differential Diagnosis of Erythemato-Squamous Diseases Using Ensemble of Decision Trees

2. When Machine Learning Meets Privacy

3. High-Throughput Semi-Honest Secure Three-Party Computation with an Honest Majority

4. Automatic detection of erythemato-squamous diseases using PSO–SVM based on association rules

5. A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease

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