Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection

Keigo Nogami, Hiroto Tamura, Gouhei Tanaka

With a growing data privacy concern, federated learning has emerged as a promising framework to train machine learning models without sharing locally distributed data. In federated…