Multi-Model Wireless Federated Learning with Downlink Beamforming

Chong Zhang, Min Dong, Ben Liang +2

This paper studies the design of wireless federated learning (FL) for simultaneously training multiple machine learning models. We consider round robin device-model assignment and…