4 citations · 5 across the 3 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★ 4 cited
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…