activity
20182021
most citedGain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

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.CR2020

A Privacy-Preserving Data Inference Framework for Internet of Health Things Networks

James Jin Kang, Mahdi Dibaei, Gang Luo +2

Privacy protection in electronic healthcare applications is an important consideration due to the sensitive nature of personal health data. Internet of Health Things (IoHT) network…

cs.SE2020

An ensemble learning approach for software semantic clone detection

Min Fu, Gang Luo, Xi Zheng +3

Code clone is a serious problem in software and has the potential to software defects, maintenance overhead, and licensing violations. Therefore, clone detection is important for r…

cs.SD2018

Our Practice Of Using Machine Learning To Recognize Species By Voice

Siddhardha Balemarthy, Atul Sajjanhar, James Xi Zheng

As the technology is advancing, audio recognition in machine learning is improved as well. Research in audio recognition has traditionally focused on speech. Living creatures (espe…