1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation
Luo Ji, Jiayu Mao, Hailong Shi +3
Online to offline recommendation strongly correlates with the user and service's spatiotemporal information, therefore calling for a higher degree of model personalization. The tra…
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…