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

Figure 6

Afed, Aed_Hinge, and our method training efficiency on the CIFAR-100 dataset compared with traditional methods; the method loss in this paper was reduced by 9% on average.