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

Table 1

Comparison of the privacy budget consumed by the algorithm in this paper and DPFL.

Datasets	Accuracy (%)
MNIST [30]	95.2		2.14	1.73
	97.4		3.49	1.95
	98.1		5.26	2.82
CIFAR-100 [31]	69.6		4.63	3.41
	72.3		6.32	4.23
	73.7		8.91	6.17