Federal learning method and device, terminal and server

The invention discloses a federal learning processing method and device, a terminal and a server, relates to the technical field of computer processing, and aims to solve the problem that the balance between training efficiency and convergence gain is difficult to obtain in the existing scheme. The method comprises the following steps: acquiring training information of N terminals in a tth round of joint training, wherein the training information comprises training data set information, training time information and a convergence contribution value; according to the training data set information, the training time information and the convergence contribution value, multi-target optimization parameters are determined, and the multi-target optimization parameters comprise training spare time and a convergence contribution sum; determining the number of target training iterations of each terminal in the N terminals by taking minimization of the training spare time as a first optimization target and maximization