2 papers
cs.LG2024
FedAH: Aggregated Head for Personalized Federated Learning
Pengzhan Zhou, Yuepeng He, Yijun Zhai +5
Recently, Federated Learning (FL) has gained popularity for its privacy-preserving and collaborative learning capabilities. Personalized Federated Learning (PFL), building upon FL,…
cs.IT2024
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…