2024
Communication Efficient Private Federated Learning Using Dithering
ICASSP 2024accepted
The task of preserving privacy while ensuring efficient communication is a fundamental challenge in federated learning. In this work, we tackle this challenge in the trusted aggregator model, and propose a solution that achieves both objectives simultaneously. We show that employing a quantization s…