3 citations · 3 across the 8 of their papers we have counts for
8 papers
AI-Driven Spectrum Occupancy Prediction Using Real-World Spectrum Measurements
Jiayu Mao, Ruoyu Sun, Mark Poletti +3
Spectrum occupancy prediction is a critical enabler for real-time and proactive dynamic spectrum sharing (DSS), as it can provide short-term channel availability information to sup…
Fundamental Limits of Bistatic Integrated Sensing and Communications over Memoryless Relay Channels
Yao Liu, Min Li, Lawrence Ong +1
The problem of bistatic integrated sensing and communications over memoryless relay channels is considered, where destination concurrently decodes the message sent by the source an…
Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework
Jiayu Mao, Tongxin Yin, Aylin Yener +1
Federated Learning (FL) is a distributed machine learning framework that inherently allows edge devices to maintain their local training data, thus providing some level of privacy.…
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…
ProFL: Performative Robust Optimal Federated Learning
Xue Zheng, Tian Xie, Xuwei Tan +2
Performative prediction is a framework that captures distribution shifts that occur during the training of machine learning models due to their deployment. As the trained model is…
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…