Method, apparatus, electronic device, and readable storage medium for vertical federated learning

Abstract

The disclosure relates to a method, apparatus, electronic device and readable storage medium for vertical federated learning. In the method, upon a plurality of participants training a random forest model based on a common sample participating in vertical federated learning, for a node to be trained on a decision tree included in the random forest model, the plurality of participants encrypt an identity configured to indicate whether the training sample is present in the node to be trained by a semi-homomorphic encryption technology, and then send it to the counterparty, and a further participant calculates a required ciphertext calculation result in a ciphertext space; in addition, the ciphertext calculation result is processed using a differential privacy technology and fed back to the counterparty, ensuring the security of the issued ciphertext calculation result, avoiding reversely interfering from the ciphertext calculation result to obtain related information of the sample, and improving the security of the sample.