Dongzhu Liu

Lecturer

University of Glasgow

United Kingdom

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Dongzhu Liu is a Lecturer at the University of Glasgow, United Kingdom. His research interests include wireless federated learning, AI-driven semantic communication, and Bayesian distributed learning. He has authored several recent articles that explore efficient methodologies and optimizations in these areas, contributing to advancements in edge machine learning and communication efficiency.

Articles (8)

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2025

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2025

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2024

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2023

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2022

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2021

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2021

Year:

2021

Collaborators (1)

Osvaldo Simeone

UNITED KINGDOM

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Dongzhu Liu

Research Interests

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Articles (8)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization

Safeguarded AI-Driven Semantic Communication: Design Principles, Architecture, and Challenges

Joint Compression and Deadline Optimization for Wireless Federated Learning

Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy

Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers

Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning

Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control

Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission

Collaborators (1)

Osvaldo Simeone

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