313 citations · 646 across the 51 of their papers we have counts for
4 papers · 1 filter
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
In this paper, to effectively prevent information leakage, we propose a novel framework based on the concept of differential privacy (DP), in which artificial noises are added to t…
Optimizing Information Freshness in Computing enabled IoT Networks
Chao Xu, Howard H. Yang, Xijun Wang +1
Internet of Things (IoT) has emerged as one of the key features of the next generation wireless networks, where timely delivery of status update packets is essential for many real-…
On Safeguarding Privacy and Security in the Framework of Federated Learning
Chuan Ma, Jun Li, Ming Ding +4
Motivated by the advancing computational capacity of wireless end-user equipment (UE), as well as the increasing concerns about sharing private data, a new machine learning (ML) pa…
On Peak Age of Information in Data Preprocessing enabled IoT Networks
Chao Xu, Howard H. Yang, Xijun Wang +1
Internet of Things (IoT) has been emerging as one of the use cases permeating our daily lives in 5th Generation wireless networks, where status update packages are usually required…