Abstract: Implementations include obtaining data volume information indicating an amount of data used by a participating node to train, based on local data, a basic training model, and where the local data includes user data of a target organization corresponding to the participating node. Based on the local data and by the participating node, obtaining a node local gradient by training the basic training model. Based on the data volume information and the node local gradient, determining a global gradient of a federated learning model that the participating node participates in. Based on the node local gradient of the participating node and the global gradient, determine a degree of participation of the participating node, where the degree of participation indicates a degree of participation of the participating node in federated learning model training. Based on the degree of participation, determine an actual model gradient of the participating node.