Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning-Reference-Cited by-同舟云学术

Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning

Author:

Asif Rizwana Naz¹,Ditta Allah²^ORCID,Alquhayz Hani³^ORCID,Abbas Sagheer¹^ORCID,Khan Muhammad Adnan⁴^ORCID,Ghazal Taher M.⁵^ORCID,Lee Sang-Woong⁴

Affiliation:

1. School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan

2. Department of Information Sciences, Division of Science and Technology, University of Education, Lahore, Pakistan

3. Department of Computer Science and Information, College of Science at Al-Zulfi, Majmaah University, Al-Majmaah, Saudi Arabia

4. Department of Software, Pattern Recognition and Machine Learning Laboratory, Gachon University, Seongnam-si, South Korea

5. School of Computing, Skyline University College, Sharjah, United Arab Emirates

Funder

Deanship of Scientific Research at Majmaah University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference57 articles.

5. FedNAS: Federated deep learning via neural architecture search;He,2021

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