9 citations
2 papers
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…
cs.DC2017★ 9 cited
Distributed Training Large-Scale Deep Architectures
Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu +6
Scale of data and scale of computation infrastructures together enable the current deep learning renaissance. However, training large-scale deep architectures demands both algorith…