Pan Hui

FedMixer: Heterogeneity-Resilient Federated Learning for Time Series Forecasting

Time series forecasting (TSF) models the underlying patterns of historical and current time series data to make predictions for future trends, which is widely applied in varying areas to enhance decision-making, optimize resource allocation, and improve operational efficiency. However, traditional TSF approaches are in...