A Secure and Privacy Preserving Federated Learning Approach for IoT Intrusion Detection System

RESEARCH CREW
11:20 01/11/2021
TIN LIÊN QUAN
The proliferation of connectivity through modern telecommunications has led to increased unwanted and disruptive calls. Such communications negatively impact user experience and trust in platforms. Currently, call filtering relies on centralized architectures that aggregate vast troves of sensitive user data within single entities, compromising privacy and ownership. Users have limited...