COLLABORATIVE LEARNING METHOD THAT UPDATES CENTRAL PARTY, STORAGE MEDIUM, TERMINAL AND SYSTEM

摘要

A collaborative learning method that dynamically updates a central party, a storage medium, a terminal and a system. The system comprises a data provider determination module, a performance evaluation module, a preference module which, according to a performance evaluation, independently selects the best data provider in a network to act as a central server and run a central program; a communication transmission module; and a dynamic updating learning module which, according to an initial status, determines whether to access a collaborative learning task or update the central server; if yes, the collaborative learning task is started and the risk for the central server is predicted; if not, the the central server is accessed for updating, and it is determined whether the collaborative learning task is continued, recovered or stopped until the task ends. Compared to the prior art, the present solution provides a method in which when a central server crashes, an optimal data provider is rapidly selected from among participating training tasks as the central server, which allows for rapid linking so that the collaborative learning can operate continuously.