4 papers
Adaptive Personalized Over-the-Air Federated Learning with Reflecting Intelligent Surfaces
Jiayu Mao, Aylin Yener
Over-the-air federated learning (OTA-FL) unifies communication and model aggregation by leveraging the inherent superposition property of the wireless medium. This strategy can ena…
Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces
Jiayu Mao, Aylin Yener
Over-the-air federated learning (OTA-FL) provides bandwidth-efficient learning by leveraging the inherent superposition property of wireless channels. Personalized federated learni…
RIS-Assisted Over-the-Air Adaptive Federated Learning with Noisy Downlink
Jiayu Mao, Aylin Yener
Over-the-air federated learning (OTA-FL) exploits the inherent superposition property of wireless channels to integrate the communication and model aggregation. Though a naturally…
ROAR-Fed: RIS-Assisted Over-the-Air Adaptive Resource Allocation for Federated Learning
Jiayu Mao, Aylin Yener
Over-the-air federated learning (OTA-FL) integrates communication and model aggregation by exploiting the innate superposition property of wireless channels. The approach renders b…