Fault detection method and device and storage medium

The invention relates to a fault detection method and device and a storage medium. The method comprises the following steps: acquiring a to-be-detected sample; global model parameters are obtained from a server, and a local model in the terminal is updated based on the global model parameters; based on the updated local model, performing fault detection on the to-be-detected sample; wherein the global model parameters are determined by a global model, and the global model is obtained based on local approximate sample distribution and sample number training sent by a terminal. By adopting the method disclosed by the invention, the technical problem of non-independent identical distribution of samples of each terminal and the technical problem of local interruption data exception can be solved, the sample distribution information of each terminal is not exposed, and the prediction model conforming to global data characteristics is obtained, so that the user privacy is protected on the basis of ensuring the pred