Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data 事件

Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data arXiv:2606.11272v1 Announce Type: cross Abstract: Federated Learning (FL) enables collaborative and privacy-preserving model training across distributed clients, but most existing FL systems implicitly assume data stationarity. In real-world settings-such as healthcare, industrial IoT (IIOT), cybersecurity, and smart cities-data streams are inherently non-sta