Enhanced Security and Privacy for Wireless Federated Learning (SP4WFL)

The main goal of this research is to come up with efficient solutions to mitigate security and privacy threats in wireless federated learning. We aim to develop solutions in the physical layer of the wireless communication system that can provide improvements in security and privacy. Inspired by ideas in the physical layer security literature, we aim to investigate whether the inherent randomness due to channel fluctuations, distortions, and noise introduced by the transceiver hardware can be exploited with carefully designed transmission schemes/protocols to make federated learning robust to privacy and security threats.

Start date 01/08/2020
End date The project is closed: 31/01/2021

Page manager Published: Thu 14 Jan 2021.