3 papers
eess.SP2026
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…
cs.IT2024
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.…
cs.IT2024
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…