Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding

Sofiane Laridi, Gregory Palmer, Kam-Ming Mark Tam

In Federated Learning (FL), anomaly detection (AD) is a challenging task due to the decentralized nature of data and the presence of non-IID data distributions. This study introduc…