non-stationary-data

Fuzzy-MoE is a novel fuzzy logic-based Mixture-of-Experts model that improves non-stationary multivariate time series forecasting accuracy and interpretability through interpretable expert routing rules.

This paper provides a comprehensive survey of Federated Continual Learning (FCL), an emerging field that combines Federated Learning and Continual Learning to enable lifelong, adaptive, and privacy-preserving learning over distributed and non-stationary data. It proposes a taxonomy, reviews applications, metrics, and open challenges.