Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks

Pengxin Guo, Runxi Wang, Shuang Zeng +7

Federated Learning (FL) has emerged as a promising privacy-preserving collaborative model training paradigm without sharing raw data. However, recent studies have revealed that pri…