[Retracted] AFLPC: An Asynchronous Federated Learning Privacy-Preserving Computing Model Applied to 5G-V2X

Figure 5

Afed, Aed_Hinge, and our method training efficiency on the MNIST dataset, compared with the traditional methods; our method loss was reduced by 10% on average.