Siu Ming Yiu

Privacy-Preserving Distributed Machine Learning Made Faster

2023

With the development of machine learning, it is difficult for a single server to process all the data. So machine learning tasks need to be spread across multiple servers, turning the centralized machine learning into …

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning

2024 · Society for Industrial and Applied Mathematics eBooks

Behemoth graphs are often fragmented and separately stored by multiple data owners as distributed subgraphs in many realistic applications. Without harming data privacy, it is natural to consider the subgraph federated learning (subgraph FL) scenario, …

Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning

2025

Foundation models that bridge vision and language have made significant progress. While they have inspired many life-enriching applications, their potential for abuse in creating new threats remains largely unexplored. In this paper, we reveal that …