no code implementations • 1 Jun 2021 • Amir Sonee, Stefano Rini, Yu-Chih Huang
This paper investigates the role of dimensionality reduction in efficient communication and differential privacy (DP) of the local datasets at the remote users for over-the-air computation (AirComp)-based federated learning (FL) model.
no code implementations • 15 May 2020 • Amir Sonee, Stefano Rini
Accordingly, the objective of the clients is to minimize the training loss subject to (i) rate constraints for reliable communication over the MAC and (ii) DP constraint over the local datasets.