4 papers
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Jialing Liao, Zheng Chen, Erik G. Larsson
In this paper, we consider privacy aspects of wireless federated learning (FL) with Over-the-Air (OtA) transmission of gradient updates from multiple users/agents to an edge server…
Over-the-Air Computation with Multiple Receivers: A Space-Time Approach
Zheng Chen, Yura Malitsky
The emerging concept of Over-the-Air (OtA) computation has shown great potential for achieving resource-efficient data aggregation across large wireless networks. However, current…
Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification
Ema Becirovic, Zheng Chen, Erik G. Larsson
We provide the optimal receive combining strategy for federated learning in multiple-input multiple-output (MIMO) systems. Our proposed algorithm allows the clients to perform indi…
SPSA-Based Successive Beamforming for Mobile Satellite Receivers with Phased Arrays
Zheng Chen, Håkan Johansson
Efficient and low-complexity beamforming design is an important element of satellite communication systems with mobile receivers equipped with phased arrays. In this work, we apply…