Flexible Differential Privacy for Internet of Medical Things Based on Evolutionary Learning-Reference-Cited by-同舟云学术

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Flexible Differential Privacy for Internet of Medical Things Based on Evolutionary Learning

Published:2024-05-01 Issue:9 Volume:11 Page:16954-16968
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Kuang Yongxiang¹^ORCID,Jiang Bin¹^ORCID,Cui Xuerong¹^ORCID,Li Shibao¹^ORCID,Liu Yongxin²^ORCID,Song Houbing³^ORCID

Affiliation:

1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China

2. Department of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

3. Department of Information Systems, University of Maryland at Baltimore County, Baltimore, MD, USA

Funder

National Natural Science Foundation of China

Young Expert Project of Taishan Scholar

Youth Innovation University Team Project in Shandong

Independent Innovation Fund of China University of Petroleum

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10508620/10438726.pdf?arnumber=10438726

Reference38 articles.

1. Research on Dual-Line Array Subpixel Scanning Imaging for IoMT-Based Blood Cell Analysis System

2. Learning-Based Efficient Sparse Sensing and Recovery for Privacy-Aware IoMT

3. Federated Neural Architecture Search for Medical Data Security

4. A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

5. ANAF-IoMT: A Novel Architectural Framework for IoMT-Enabled Smart Healthcare System by Enhancing Security Based on RECC-VC

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