78 citations · 197 across the 21 of their papers we have counts for
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cs.LG2022★ 12 cited
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
Yujun Shi, Jian Liang, Wenqing Zhang +2
Federated learning aims to train models collaboratively across different clients without the sharing of data for privacy considerations. However, one major challenge for this learn…
cs.LG2019★ 2 cited
FIS-GAN: GAN with Flow-based Importance Sampling
Shiyu Yi, Donglin Zhan, Wenqing Zhang +3
Generative Adversarial Networks (GAN) training process, in most cases, apply Uniform or Gaussian sampling methods in the latent space, which probably spends most of the computation…