Method for training model and method and device for determining asset estimation value

The invention provides a method for training a model, a method and device for determining an asset estimation value, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, natural language understanding and the like. According to the specific implementation scheme, event-level representation is determined according to a first feature data set; according to the event level representation, performing multi-task learning on the first model to obtain first price distribution data, and sending the first price distribution data to a central server; determining a representation in the first region according to the second feature data set; increasing a noise signal for the first intra-region representation to obtain a noisy intra-region representation, and sending the noisy intra-region representation to the client; and in response to the noise addition parameter gradient received from the central server