6 citations · 13 across the 5 of their papers we have counts for
5 papers
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization
Yuanming Shi, Shuhao Xia, Yong Zhou +3
Vertical federated learning (FL) is a collaborative machine learning framework that enables devices to learn a global model from the feature-partition datasets without sharing loca…
Reconfigurable Intelligent Surface for Massive Connectivity
Shuhao Xia, Yuanming Shi, Yong Zhou +1
With the rapid development of Internet of Things (IoT), massive machine-type communication has become a promising application scenario, where a large number of devices transmit spo…
Fast Convergence Algorithm for Analog Federated Learning
Shuhao Xia, Jingyang Zhu, Yuhan Yang +3
In this paper, we consider federated learning (FL) over a noisy fading multiple access channel (MAC), where an edge server aggregates the local models transmitted by multiple end d…
Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation
Shuhao Xia, Yuanming Shi
Intelligent Reflecting Surface (IRS) has been a promising solution to enhance wireless networks both spectral-efficiently and energy-efficiently. This paper considers an IRS-assist…
Learning One-hidden-layer neural networks via Provable Gradient Descent with Random Initialization
Shuhao Xia, Yuanming Shi
Although deep learning has shown its powerful performance in many applications, the mathematical principles behind neural networks are still mysterious. In this paper, we consider…