21 citations · 53 across the 14 of their papers we have counts for
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cs.LG2022★ 2 cited
Using Autoencoders on Differentially Private Federated Learning GANs
Gregor Schram, Rui Wang, Kaitai Liang
Machine learning has been applied to almost all fields of computer science over the past decades. The introduction of GANs allowed for new possibilities in fields of medical resear…
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…