FL_GIoT: Federated Learning Enabled Edge-Based Green Internet of Things System: A Comprehensive Survey-Reference-Cited by-同舟云学术

FL_GIoT: Federated Learning Enabled Edge-Based Green Internet of Things System: A Comprehensive Survey

Published:2023 Issue: Volume:11 Page:136150-136165
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Awotunde Joseph Bamidele¹^ORCID,Sur Samarendra Nath²^ORCID,Jimoh Rasheed Gbenga¹,Aremu Dayo Reuben¹,Do Dinh-Thuan³^ORCID,Lee Byung Moo⁴^ORCID

Affiliation:

1. Department of Computer Science, Faculty of Information and Communication Sciences, University of Ilorin, Ilorin, Nigeria

2. Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Rangpo, Sikkim, India

3. School of Engineering, University of Mount Union, Alliance, OH, USA

4. Department of Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by Korea government

MSIT (Ministry of Science and ICT), Korea

faculty research fund of Sejong University in 2023

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10323400.pdf?arnumber=10323400

Reference78 articles.

1. IoT-Based Wearable Body Sensor Network for COVID-19 Pandemic

2. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm

3. Federated Learning in Mobile Edge Networks: A Comprehensive Survey

4. Toward Green IoT: Energy Solutions and Key Challenges

5. Green Internet of Things for Smart World

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