Federated Learning for Time Series Forecasting Using LSTM Networks: Exploiting Similarities Through Clustering
Fernando Díaz González · 2019
Federated learning poses a statistical challenge when training on highly heterogeneous sequence data. For example, time-series telecom data collected over long intervals regularly shows mixed fluct ...