ARTIFICIAL NEURAL-NETWORK DISTRIBUTED LEARNING SYSTEM AND METHOD FOR PROTECTING PERSONAL INFORMATION OF MEDICAL DATA

摘要

The present invention relates to a system and a method for artificial neural-network distributed learning for protecting personal information of medical data. The present invention provides an artificial neural-network distributed learning system for protecting personal information of medical data and a method using the same, the system comprising: at least one or more computing servers which transmit, to a parameter server, any one of a gradient value calculated by an error function of an artificial neural-network and a parameter which is updated by the gradient value, while performing a learning process on the basis of the medical data; and a parameter server which is connected to the computing servers over a network and transmits or receives the gradient value or the parameter between the computing servers, wherein the computing servers perform learning on the basis of the gradient value or the parameter received from the parameter server.