Satyashree

FedGuard: A Federated Learning Framework for Collaborative and Privacy-Preserving Mobile Threat Intelligence

This research hopes to alleviate some of these challenges by enabling collaborative model training across remote devices while assuring that confidential user data remains uncompromised and undisclosed and inspires service providers, vendors of devices and researchers to the utility of elevating mobile security.