A Simple Federated Learning-Based Scheme for Security Enhancement Over Internet of Medical Things-Reference-Cited by-同舟云学术

A Simple Federated Learning-Based Scheme for Security Enhancement Over Internet of Medical Things

Published:2023-02 Issue:2 Volume:27 Page:652-663
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Xu Zhiang¹^ORCID,Guo Yijia²^ORCID,Chakraborty Chinmay³^ORCID,Hua Qiaozhi⁴^ORCID,Chen Shengbo¹^ORCID,Yu Keping⁵^ORCID

Affiliation:

1. Henan Key Laboratory of Big Data Analysis and Processing, the School of Computer and Information Engineering, Henan University, Kaifeng, China

2. School of Automation Science and Electrical Engineering, Beihang University, China

3. Birla Institute of Technology, Mesra, Ranchi, India

4. Computer School, Hubei University of Arts and Science, Xiangyang, China

5. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

Funder

Japan Society for the Promotion of Science

Hubei Natural Science Foundation

National Natural Science Foundation of China

Kaifeng Science and Technology Major Project

Ji’An Finance and Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10036335/09811349.pdf?arnumber=9811349

Reference55 articles.

1. Set-membership state estimation subject to uniform quantization effects and communication constraints

2. Fast adjustable threshold for uniform neural network quantization;goncharenko;Int J Comput Inf Eng,2019

3. Output-Feedback Control for Nonlinear Stochastic Systems With Successive Packet Dropouts and Uniform Quantization Effects

4. Distributed Quasiconsensus Control for Stochastic Multiagent Systems Under Round-Robin Protocol and Uniform Quantization

5. FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization;reisizadeh;Proc Int Conf Artif Intell Statist,0

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