220 citations · 388 across the 33 of their papers we have counts for
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cs.LG2021★ 4 cited
Faithful Edge Federated Learning: Scalability and Privacy
Meng Zhang, Ermin Wei, Randall Berry
Federated learning enables machine learning algorithms to be trained over a network of multiple decentralized edge devices without requiring the exchange of local datasets. Success…
cs.LG2018★ 10 cited
Fictitious GAN: Training GANs with Historical Models
Hao Ge, Yin Xia, Xu Chen +2
Generative adversarial networks (GANs) are powerful tools for learning generative models. In practice, the training may suffer from lack of convergence. GANs are commonly viewed as…