activity
20162021
most citedOn the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times

10 citations · 11 across the 4 of their papers we have counts for

collaborators

7 papers

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.MM2021

Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach

Xianzhi Zhang, Yipeng Zhou, Di Wu +4

It is always a challenging problem to deliver a huge volume of videos over the Internet. To meet the high bandwidth and stringent playback demand, one feasible solution is to cache…

cs.DC20211 cited

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning

Wenzhuo Yang, Yipeng Zhou, Maio Hu +4

Federated Learning (FL) is an emerging paradigm through which decentralized devices can collaboratively train a common model. However, a serious concern is the leakage of privacy f…

cs.CR202110 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…

cs.CR2020

Mitigating Sybil Attacks on Differential Privacy based Federated Learning

Yupeng Jiang, Yong Li, Yipeng Zhou +1

In federated learning, machine learning and deep learning models are trained globally on distributed devices. The state-of-the-art privacy-preserving technique in the context of fe…

cs.NI2016

Modeling QoE of Video Streaming in Wireless Networks with Large-Scale Measurement of User Behavior

Yuedong Xu, Zhujun Xiao, Hui Feng +3

Unraveling quality of experience (QoE) of video streaming is very challenging in bandwidth shared wireless networks. It is unclear how QoE metrics such as starvation probability an…