4 citations · 5 across the 5 of their papers we have counts for
5 papers
Correlated-Sequence Differential Privacy
Yifan Luo, Meng Zhang, Jin Xu +2
Data streams collected from multiple sources are rarely independent. Values evolve over time and influence one another across sequences. These correlations improve prediction in he…
Age-Dependent Differential Privacy
Meng Zhang, Ermin Wei, Randall Berry +1
The proliferation of real-time applications has motivated extensive research on analyzing and optimizing data freshness in the context of \textit{age of information}. However, clas…
Faithful Edge Federated Learning: Scalability and Privacy
Meng Zhang, Ermin Wei, Randall Berry
Federated learning enables machine learning algorithms to be trained over a network of multiple decentralized edge devices without requiring the exchange of local datasets. Success…
Pricing Fresh Data
Meng Zhang, Ahmed Arafa, Jianwei Huang +1
We introduce the concept of {\it fresh data trading}, in which a destination user requests, and pays for, fresh data updates from a source provider, and data freshness is captured…
Optimal and Quantized Mechanism Design for Fresh Data Acquisition
Meng Zhang, Ahmed Arafa, Ermin Wei +1
The proliferation of real-time applications has spurred much interest in data freshness, captured by the {\it age-of-information} (AoI) metric. When strategic data sources have pri…