8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CR2022★ 8 cited
FLVoogd: Robust And Privacy Preserving Federated Learning
Yuhang Tian, Rui Wang, Yanqi Qiao +2
In this work, we propose FLVoogd, an updated federated learning method in which servers and clients collaboratively eliminate Byzantine attacks while preserving privacy. In particu…
cs.LG2022★ 1 cited
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution
Akash Amalan, Rui Wang, Yanqi Qiao +2
Federated learning is an emerging concept in the domain of distributed machine learning. This concept has enabled GANs to benefit from the rich distributed training data while pres…
cs.CV2019
A security steganography scheme based on hdr image
Wei Gao, Yongqing Huo, Yan Qiao
It is widely recognized that the image format is crucial to steganography for that each individual format has its unique properities. Nowadays, the most famous approach of digital…