HUNTSVILLE – As Unmanned Aerial Vehicles, or drones, become increasingly vital to military, government and civilian applications, conventional machine-learning techniques essential to training these devices often rely on paradigms that require transmitting all raw data from UAVs to centralized servers.
This approach can be impractical due to privacy concerns, limited bandwidth and the time required for a task to be completed.
Now a researcher in the College of Engineering at the University of Alabama in Huntsville has won a $599,830 National Science Foundation grant to address these challenges by using collaborative artificial intelligence. The effort pioneers the use of secure multi-modal federated learning over UAV networks.
Dr. Dinh Nguyen, an assistant professor in the Department of Electrical and Computer Engineering at UAH,will be the principal investigator on the initiative, slated to run through September 2028…