10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Yipeng Zhou, Xuezheng Liu, Yao Fu +3
Federated learning (FL) empowers distributed clients to collaboratively train a shared machine learning model through exchanging parameter information. Despite the fact that FL can…
cs.NI2021
Virtual Reality: A Survey of Enabling Technologies and its Applications in IoT
Miao Hu, Xianzhuo Luo, Jiawen Chen +3
Virtual Reality (VR) has shown great potential to revolutionize the market by providing users immersive experiences with freedom of movement. Compared to traditional video streamin…
cs.CR2021★ 10 cited
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
Yao Fu, Yipeng Zhou, Di Wu +3
In spite that Federated Learning (FL) is well known for its privacy protection when training machine learning models among distributed clients collaboratively, recent studies have…