9 citations · 29 across the 5 of their papers we have counts for
5 papers
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Sheng Guo, Zengxiang Li, Hui Liu +2
Intelligent fault diagnosis is essential to safe operation of machinery. However, due to scarce fault samples and data heterogeneity in field machinery, deep learning based diagnos…
Hidden Backdoors in Human-Centric Language Models
Shaofeng Li, Hui Liu, Tian Dong +4
Natural language processing (NLP) systems have been proven to be vulnerable to backdoor attacks, whereby hidden features (backdoors) are trained into a language model and may only…
Sequence to Point Learning Based on Bidirectional Dilated Residual Network for Non Intrusive Load Monitoring
Ziyue Jia, Linfeng Yang, Zhenrong Zhang +2
Non Intrusive Load Monitoring (NILM) or Energy Disaggregation (ED), seeks to save energy by decomposing corresponding appliances power reading from an aggregate power reading of th…
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving
Rulin Shao, Hongyu He, Hui Liu +1
Artificial neural network has achieved unprecedented success in the medical domain. This success depends on the availability of massive and representative datasets. However, data c…
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning
Rulin Shao, Hui Liu, Dianbo Liu
Artificial neural network has achieved unprecedented success in a wide variety of domains such as classifying, predicting and recognizing objects. This success depends on the avail…