Source Camera Model Identification via Federated Learning Using Laplacian-Based Patches

This research proposes FedFFTNet, a system for identifying which camera model took a photo by using federated learning (a technique where AI models train on data kept private across multiple devices rather than sharing raw data centrally). The system uses a lightweight deep learning architecture and a Laplacian-based patch selection strategy (focusing on sharp, detailed areas of images) to identify cameras while maintaining privacy, achieving very high accuracy rates on standard benchmark datasets.