2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
AAAI 2024technical
Collaborative learning (CL) is a distributed learning framework that aims to protect user privacy by allowing users to jointly train a model by sharing their gradient updates only. However, gradient inversion attacks (GIAs), which recover users' training data from shared gradients, impose severe pri…