1 citations · 1 across the 4 of their papers we have counts for
4 papers
Improving Wireless Federated Learning via Joint Downlink-Uplink Beamforming over Analog Transmission
Chong Zhang, Min Dong, Ben Liang +2
Federated learning (FL) over wireless networks using analog transmission can efficiently utilize the communication resource but is susceptible to errors caused by noisy wireless li…
Generative AI-enabled Blockage Prediction for Robust Dual-Band mmWave Communication
Mohammad Ghassemi, Han Zhang, Ali Afana +2
In mmWave wireless networks, signal blockages present a significant challenge due to the susceptibility to environmental moving obstructions. Recently, the availability of visual d…
Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networks
Han Zhang, Akram Bin Sediq, Ali Afana +1
In recent years, machine learning (ML) techniques have created numerous opportunities for intelligent mobile networks and have accelerated the automation of network operations. How…
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…