2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
Jianing Zhu, Jiangchao Yao, Tongliang Liu +3
Privacy and security concerns in real-world applications have led to the development of adversarially robust federated models. However, the straightforward combination between adve…
cs.LG2022★ 2 cited
AUTOSHAPE: An Autoencoder-Shapelet Approach for Time Series Clustering
Guozhong Li, Byron Choi, Jianliang Xu +3
Time series shapelets are discriminative subsequences that have been recently found effective for time series clustering (TSC). The shapelets are convenient for interpreting the cl…
cs.PF2014★ 1 cited
Rank-Aware Dynamic Migrations and Adaptive Demotions for DRAM Power Management
Yanchao Lu, Donghong Wu, Bingsheng He +3
Modern DRAM architectures allow a number of low-power states on individual memory ranks for advanced power management. Many previous studies have taken advantage of demotions on lo…