2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.DC2025
Hybrid Dual-Batch and Cyclic Progressive Learning for Efficient Distributed Training
Kuan-Wei Lu, Ding-Yong Hong, Pangfeng Liu +1
Distributed machine learning is critical for training deep learning models on large datasets with numerous parameters. Current research primarily focuses on leveraging additional h…
cs.LG2025★ 2 cited
GPU Memory Usage Optimization for Backward Propagation in Deep Network Training
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang +2
In modern Deep Learning, it has been a trend to design larger Deep Neural Networks (DNNs) for the execution of more complex tasks and better accuracy. On the other hand, Convolutio…