FedSecureXAI: Multimodal Federated Learning for Android Malware Detection with Byzantine-Resilient Aggregation, Differential Privacy, and Explainable AI
AbstractFederated learning (FL) allows organizations to collaborate on Android malware detection without sharing raw samples. However, malicious client updates can affect the global model, while model updates can also expose information about private training data. We present FedSecureXAI, a multimodal federated framew...