Method and system for multi-party collaborative update of service prediction model

The embodiment of the invention provides a method and system for multi-party collaborative updating of a service prediction model, and in the updating method, each participant i determines a local parameter vector according to a local sample set and a local model parameter, and provides the local parameter vector to a server. The server clusters the received n parts of local parameter vectors and n element values corresponding to any dimension j, and determines a first intermediate parameter corresponding to the dimension j based on the obtained class cluster center values of the two class clusters so as to obtain a first intermediate parameter vector; and carrying out aggregation processing on at least part of the n element values to obtain a second intermediate parameter corresponding to the dimension j, thereby obtaining a second intermediate parameter vector. And respectively calculating first and second vector distances between each local parameter vector and the first and second intermediate parameter v