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cs.LG2019★ 1 cited
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou +1
Performing supervised learning from the data synthesized by using Generative Adversarial Networks (GANs), dubbed GAN-synthetic data, has two important applications. First, GANs may…
cs.LG2019
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning
Chun-Hsien Yu, Chun-Nan Chou, Emily Chang
Deep Learning techniques have achieved remarkable results in many domains. Often, training deep learning models requires large datasets, which may require sensitive information to…