Di Kuang

According to our database, Di Kuang authored at least 3 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

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

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