Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security-Reference-Cited by-同舟云学术

Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security

Author:

Hossen Md. Nazmul¹^ORCID,Panneerselvam Vijayakumari²^ORCID,Koundal Deepika³^ORCID,Ahmed Kawsar⁴^ORCID,Bui Francis M.⁴^ORCID,Ibrahim Sobhy M.⁵

Affiliation:

1. Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh

2. Department of Applied Electronics, Institute of ECE, Saveetha School of Engineering, SIMATS, Chennai, India

3. Department of Systemics and School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

4. Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada

5. Department of Biochemistry and College of Science, King Saud University, Riyadh, Saudi Arabia

Funder

King Saud University

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference24 articles.

1. An image-based diagnosis of virus and bacterial skin infections;tushabe;Proc Int Conf Complications Interventional Radiol,0

2. Generative models for effective ML on private, decentralized datasets;augenstein,2019

4. ImageNet classification with deep convolutional neural networks;krizhevsky,2022

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