19 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.CR2020★ 17 cited
Secure Weighted Aggregation for Federated Learning
Jiale Guo, Ziyao Liu, Kwok-Yan Lam +3
The pervasive adoption of Internet-connected digital services has led to a growing concern in the personal data privacy of their customers. On the other hand, machine learning (ML)…
eess.SP2020★ 19 cited
A Survey of 6G Wireless Communications: Emerging Technologies
Yang Zhao, Jun Zhao, Wenchao Zhai +3
While fifth-generation (5G) communications are being rolled out around the world, sixth-generation (6G) communications have attracted much attention from both the industry and acad…
cs.CR2019★ 2 cited
Towards Distributed Privacy-Preserving Prediction
Lingjuan Lyu, Yee Wei Law, Kee Siong Ng +4
In privacy-preserving machine learning, individual parties are reluctant to share their sensitive training data due to privacy concerns. Even the trained model parameters or predic…