1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
Xing Zhao, Manos Papagelis, Aijun An +3
The bulk synchronous parallel (BSP) is a celebrated synchronization model for general-purpose parallel computing that has successfully been employed for distributed training of mac…
cs.LG2019★ 1 cited
Dynamic Graph Embedding via LSTM History Tracking
Shima Khoshraftar, Sedigheh Mahdavi, Aijun An +2
Many real world networks are very large and constantly change over time. These dynamic networks exist in various domains such as social networks, traffic networks and biological in…
cs.DC2019
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning
Xing Zhao, Aijun An, Junfeng Liu +1
Deep learning is a popular machine learning technique and has been applied to many real-world problems. However, training a deep neural network is very time-consuming, especially o…