Xiangyu Bai

Graph Publishing with Local Differential Privacy for Hierarchical Social Networks

2020

With the spread of social network services, social media applications have obtained a significant amount of personal data and relational information from their users. In the era of big data, data should to be shared …

PDP-FD: Federated Knowledge Distillation Based on Personalized Differential Privacy

2025

Federated learning (FL) is a privacy-preserving distributed machine learning approach that enables training by exchanging model parameters without uploading local private data. However, the data heterogeneity across clients poses significant challenges in achieving personalized privacy …