Xiao-Dan Zhang

A Novel Federated Learning Framework for Defending Against Gradient Inversion Attacks

Federated Learning (FL) offers a paradigm for collaborative machine learning model training among clients, preserving data privacy by avoiding direct data sharing. However, the gradient information exchanged in FL has been shown to be vulnerable to Gradient Inversion Attacks (GIA), which can reconstruct sensitive user...