non-stationary-data

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.