most citedAdaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning

9 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2021★ 1 cited

Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches

Albara Ah Ramli, Xin Liu, Kelly Berndt +13

Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and typically-developing (TD) peers are visible to the eye, but quantifications of those differences…

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…