Research on UAV Target Recognition Technology Based on Federated Learning
Lu-lu Fang, Hai-rong Hu, Wei Pu, Jian Quan Bi · 2021
This paper analyzes the difficulty of data sharing in the current UAV target recognition model training, and designs a UAV target recognition architecture based on federated learning. And combined with the advantages of YOLOv3 to improve the YOLOv3-Tiny model. Finally, the model is trained in two different scenarios through simulation experiments. The results show that the performance of the model is improved on the basis of protecting data privacy. It provides an index reference for the next step in the in-service assessment of UAV equipment target recognition capabilities.