Federated Anomaly Detection over Distributed Data Streams

no code implementations • 16 May 2022 • Paula Raissa Silva, João Vinagre, João Gama

This work complements the state-of-the-art by adapting the data stream algorithms in a federated learning setting for anomaly detection and by delivering a robust framework and demonstrating the practical feasibility in a real-world distributed deployment scenario.

Anomaly Detection Federated Learning