Fed-IoUT: Opportunities and Challenges of Federated Learning in the Internet of Underwater Things
Author:
Affiliation:
1. University of Sydney,Australia
2. Shandong University of Science and Technology,China
3. Ocean University of China,China
4. Manchester Metropolitan University,UK
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/8548628/10070392/10070408.pdf?arnumber=10070408
Reference13 articles.
1. Federated and Transfer Learning-Empowered Intrusion Detection for IoT Applications
2. Federated Learning: Challenges, Methods, and Future Directions
3. Communication-Efficient Learning of Deep Networks from Decentralized Data;mcmahan;Artificial Intelligence and Statistics,2017
4. Underwater electromagnetic communications using conduction
5. Application of NB-IoT in Intelligent Fire Protection System
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