58 citations · 184 across the 35 of their papers we have counts for
5 papers · 1 filter
Federated Learning Hyper-Parameter Tuning from a System Perspective
Huanle Zhang, Lei Fu, Mi Zhang +4
Federated learning (FL) is a distributed model training paradigm that preserves clients' data privacy. It has gained tremendous attention from both academia and industry. FL hyper-…
Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning
Qin Hu, Shengling Wang, Zeihui Xiong +1
The explosive amount of data generated at the network edge makes mobile edge computing an essential technology to support real-time applications, calling for powerful data processi…
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Zekai Chen, Fangtian Zhong, Zhumin Chen +3
User response prediction, which aims to predict the probability that a user will provide a predefined positive response in a given context such as clicking on an ad or purchasing a…
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen, Dingshuo Chen, Xiao Zhang +2
Many real-world IoT systems, which include a variety of internet-connected sensory devices, produce substantial amounts of multivariate time series data. Meanwhile, vital IoT infra…
Multi-Task Time Series Forecasting With Shared Attention
Zekai Chen, Jiaze E, Xiao Zhang +2
Time series forecasting is a key component in many industrial and business decision processes and recurrent neural network (RNN) based models have achieved impressive progress on v…