Yonggang Hu

Transferable AutoML by Model Sharing Over Grouped Datasets

2019

Automated Machine Learning (AutoML) is an active area on the design of deep neural networks for specific tasks and datasets. Given the complexity of discovering new network designs, methods for speeding up the search procedure …

Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning

2020 · arXiv (Cornell University)

The bulk synchronous parallel (BSP) is a celebrated synchronization model for general-purpose parallel computing that has successfully been employed for distributed training of machine learning models. A prevalent shortcoming of the BSP is that it …