Resource-Constrained Secure Federated Learning Framework for Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) are deployed in mission-critical applications such as surveillance, disaster relief, and ecological monitoring. These use cases demand real-time intelligence from sensitive data, necessitating privacy-preserving distributed learning approaches like Federated Learning (FL). However, conve...