Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.

Abstract: Unknown interaction items in the construction of distributed residual generators for large-scale systems will lead to the failure of existing data-driven fault detection (FD) methods based ...