Wenrui Yu

2 accepted papers

2025

Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss

Wenrui Yu, Richard Heusdens, Jun Pang, Qiongxiu Li

ICASSP 2025accepted

In distributed networks, calculating the maximum element is a fundamental task in data analysis, known as the distributed maximum consensus problem. However, the sensitive nature of the data involved makes privacy protection essential. Despite its importance, privacy in distributed maximum consensus…

Cited by 4 Source ↗Scholar ↗

2024

Topology-Dependent Privacy Bound for Decentralized Federated Learning

Qiongxiu Li, Wenrui Yu, Changlong Ji, Richard Heusdens

ICASSP 2024accepted

Decentralized Federated Learning (FL) has attracted significant attention due to its enhanced robustness and scalability compared to its centralized counterpart. It pivots on peer-to-peer communication rather than depending on a central server for model aggregation. While prior research has delved i…

Cited by 0 Source ↗Scholar ↗