Enhanced Security and Privacy for Wireless Federated Learning (SP4WFL)
Research Project , 2020 – 2021

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.

Participants

Sina Rezaei Aghdam (contact)

Researcher at Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Marija Furdek Prekratic

Assistant Professor at Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Alexandre Graell I Amat

Full Professor at Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Funding

Chalmers AI Research Centre (CHAIR)

Funding Chalmers participation during 2020–2021

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

More information

Latest update

2021-01-13