Jianqi Liu

Fed2VAEs: An Efficient Privacy-Preserving Federated Learning Approach Based on Variational Autoencoders

2024

Recently, federated learning (FL) has been threat-ened by the gradient inversion attack that infers user-private data from shared gradients. To cope with this problem, the differential privacy (DP) technique is widely employed in FL. However, …