9 citations · 9 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 9 cited
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Nader Bouacida, Jiahui Hou, Hui Zang +1
With more regulations tackling users' privacy-sensitive data protection in recent years, access to such data has become increasingly restricted and controversial. To exploit the we…
cs.LG2019
Compiler-Level Matrix Multiplication Optimization for Deep Learning
Huaqing Zhang, Xiaolin Cheng, Hui Zang +1
An important linear algebra routine, GEneral Matrix Multiplication (GEMM), is a fundamental operator in deep learning. Compilers need to translate these routines into low-level cod…