1 citations · 1 across the 4 of their papers we have counts for
4 papers
LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
Haichao Ji, Zibo Wang, Cheng Pan +4
Large Language Models (LLMs) have shown great promise in automating data analytics tasks by interpreting natural language queries and generating multi-operation execution plans. Ho…
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang, Haichao Ji, Yifei Zhu +2
The escalating influx of data generated by networked edge devices, coupled with the growing awareness of data privacy, has restricted the traditional data analytics workflow, where…
Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications
Zibo Wang, Yifei Zhu, Dan Wang +1
The emerging Web 3.0 paradigm aims to decentralize existing web services, enabling desirable properties such as transparency, incentives, and privacy preservation. However, current…
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
Yu Liu, Zibo Wang, Yifei Zhu +1
Federated learning (FL) has emerged as a prevalent distributed machine learning scheme that enables collaborative model training without aggregating raw data. Cloud service provide…