Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting

Thien Pham, Angelo Furno, Faïcel Chamroukhi +1

This paper presents an advanced Federated Learning (FL) framework for forecasting complex spatiotemporal data, improving upon recent state-of-the-art models. In the proposed approa…