Federated learning is an innovative machine learning technique that deals with centralized
data storage issues while maintaining privacy and security. It involves constructing machine …

This research addresses the dual challenges of image restoration quality and data privacy in
optical remote sensing. Traditional restoration methods often fall short due to the complex …

In the realm of remote sensing images, restoration and privacy preservation stand as dual
challenges. While the intricate characteristics of these images render conventional …

Federated learning (FL) systems often intermingle data management and computational
tasks as an all-in-one solution or service. This design has been repeatedly criticized for the …