Mengqiang Chen

According to our database, Mengqiang Chen authored at least 6 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

EGC: Entropy-based gradient compression for distributed deep learning.

Danyang Xiao, Yuan Mei, Di Kuang, Mengqiang Chen, Binbin Guo, Weigang Wu

Inf. Sci., 2021

2020

Dual-Way Gradient Sparsification for Asynchronous Distributed Deep Learning.

Zijie Yan, Danyang Xiao, Mengqiang Chen, Jieying Zhou, Weigang Wu

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Standard Deviation Based Adaptive Gradient Compression For Distributed Deep Learning.

Mengqiang Chen, Zijie Yan, Jiangtao Ren, Weigang Wu

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Entropy-Based Gradient Compression for Distributed Deep Learning.

Di Kuang, Mengqiang Chen, Danyang Xiao, Weigang Wu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

More Effective Distributed Deep Learning Using Staleness Based Parameter Updating.

Yan Ye, Mengqiang Chen, Zijie Yan, Weigang Wu, Nong Xiao

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Comparative Study of Distributed Deep Learning Tools on Supercomputers.

Xin Du, Di Kuang, Yan Ye, Xinxin Li, Mengqiang Chen, Yunfei Du, Weigang Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018