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Shuguang Cui

Researcher at The Chinese University of Hong Kong

Publications -  18
Citations -  819

Shuguang Cui is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Optimization problem & Wireless network. The author has an hindex of 8, co-authored 18 publications receiving 276 citations. Previous affiliations of Shuguang Cui include Virginia Tech.

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Convergence Time Optimization for Federated Learning Over Wireless Networks

TL;DR: In this paper, the convergence time of federated learning (FL) over a realistic wireless network is studied, and a probabilistic user selection scheme is proposed such that the BS is connected to the users whose local FL models have significant effects on the global FL model with high probabilities.
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Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

TL;DR: Simulation results show that the proposed scheme achieves up to 33\% and 68\% gains in terms of the energy efficiency in both single-user and multi-user cases compared to the conventional RIS scheme and amplify-and-forward relay scheme, respectively.
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Convergence Time Optimization for Federated Learning over Wireless Networks

TL;DR: A probabilistic user selection scheme is proposed such that the BS is connected to the users whose local FL models have significant effects on the global FL model with high probabilities, which enables the BS to improve the global model, the FL convergence speed, and the training loss.
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Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks

TL;DR: A value decomposition based reinforcement learning (VDRL) solution coupled with a meta-training mechanism is proposed that allows the DBSs to dynamically learn their trajectories while generalizing their learning to unseen environments.
Journal ArticleDOI

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

TL;DR: In this paper, the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs) is posed as a joint optimization problem of transmit beamforming and RIS control, whose goal is to maximize the EE under minimum rate constraints of the users.