4 citations · 12 across the 6 of their papers we have counts for
6 papers
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
Yao Chen, Wensheng Gan, Gengsen Huang +2
DNA motif discovery is an important issue in gene research, which aims to identify transcription factor binding sites (i.e., motifs) in DNA sequences to reveal the mechanisms that…
Federated Learning for Metaverse: A Survey
Yao Chen, Shan Huang, Wensheng Gan +2
The metaverse, which is at the stage of innovation and exploration, faces the dilemma of data collection and the problem of private data leakage in the process of development. This…
Federated Learning Attacks and Defenses: A Survey
Yao Chen, Yijie Gui, Hong Lin +2
In terms of artificial intelligence, there are several security and privacy deficiencies in the traditional centralized training methods of machine learning models by a server. To…
Contrast Pattern Mining: A Survey
Yao Chen, Wensheng Gan, Yongdong Wu +1
Contrast pattern mining (CPM) is an important and popular subfield of data mining. Traditional sequential patterns cannot describe the contrast information between different classe…
Towards Target High-Utility Itemsets
Jinbao Miao, Wensheng Gan, Shicheng Wan +2
For applied intelligence, utility-driven pattern discovery algorithms can identify insightful and useful patterns in databases. However, in these techniques for pattern discovery,…
Smart System: Joint Utility and Frequency for Pattern Classification
Qi Lin, Wensheng Gan, Yongdong Wu +2
Nowadays, the environments of smart systems for Industry 4.0 and Internet of Things (IoT) are experiencing fast industrial upgrading. Big data technologies such as design making, e…