activity
20222025
most citedFedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy

3 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2025

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…

cs.NI2025

B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining

Yimin Zhao, Weibo Wang, Xiong Wang +6

With the rapid growth of Low Earth Orbit (LEO) satellite networks, satellite-IoT systems using the LoRa technique have been increasingly deployed to provide widespread Internet ser…

cs.DC2024

Towards Real-Time Neural Volumetric Rendering on Mobile Devices: A Measurement Study

Zhe Wang, Yifei Zhu

Neural Radiance Fields (NeRF) is an emerging technique to synthesize 3D objects from 2D images with a wide range of potential applications. However, rendering existing NeRF models…

cs.DC2024★ 1 cited

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…

cs.DC2024

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…

cs.DC2024

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…