2 papers
cs.LG2025
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…
cs.LG2023
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting
Junkai Mao, Yuexing Han, Gouhei Tanaka +1
Accurate epidemic forecasting is a critical task in controlling disease transmission. Many deep learning-based models focus only on static or dynamic graphs when constructing spati…