Federated learning for synthetic mobility data generation

Abstract

Federated learning for generating synthetic mobility data The invention relates to a method for generating synthetic data from mobility data, the method comprising the following steps, implemented in equipment capable of communicating with a server of a cellular network, the method comprising the following steps: - obtaining (201; 202) mobility data; - determining (203) optimized local parameters of a module for generating synthetic data from the obtained mobility data; - transmitting (204) the optimized local parameters to the server; - receiving (220) optimized global parameters from the server; - updating (221) the module on the basis of the received optimized global parameters; - generating (222) synthetic data by the updated module. Figure for abstract: [Fig 2]