Enhancing Gradient Inversion Attacks in Federated Learning via Hierarchical Feature Optimization
arXiv:2604.00955v1 Announce Type: new
Abstract: Federated Learning (FL) has emerged as a compelling paradigm for privacy-preserving distributed machine learning, allowing multiple clients to collaboratively train a global model by transmitting locally…