4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
Yanna Jiang, Baihe Ma, Xu Wang +5
The demand for intelligent industries and smart services based on big data is rising rapidly with the increasing digitization and intelligence of the modern world. This survey comp…
cs.LG2023★ 4 cited
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Guangsheng Yu, Xu Wang, Caijun Sun +5
Federated learning (FL) provides an effective machine learning (ML) architecture to protect data privacy in a distributed manner. However, the inevitable network asynchrony, the ov…
cs.CR2022★ 1 cited
Dataset Obfuscation: Its Applications to and Impacts on Edge Machine Learning
Guangsheng Yu, Xu Wang, Ping Yu +3
Obfuscating a dataset by adding random noises to protect the privacy of sensitive samples in the training dataset is crucial to prevent data leakage to untrusted parties for edge a…