Federated/Deep Learning in UAV Networks for Wildfire Surveillance
Author:
Affiliation:
1. California State University,Department of Electrical Engineering,Long Beach
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10131119/10131675/10131685.pdf?arnumber=10131685
Reference35 articles.
1. Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems
2. Cell-Free Massive MIMO for Wireless Federated Learning
3. Communication-efficient federated learning
4. Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory
5. Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures
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1. A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management;Information Fusion;2024-08
2. Object Classification with YOLOv5 for Electric Utility Asset Inspection using UAVs;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19
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