R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients

Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino +3

In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mec…