FedADMP: A Joint Anomaly Detection and Mobility Prediction Framework via Federated Learning
Zezhang Yang, Jian Li, Ping Yang · ICST Transactions on Security and Safety · 2021
With the proliferation of mobile devices and smart cameras, detecting anomalies and predicting their mobility are critical for enhancing safety in ubiquitous computing systems. Due to data privacy regulations and limited communication bandwidth, it is infeasible to collect, transmit, and store all d