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Dongzhu Liu — most-cited papers & profile · Federated Learning
← authors
·
overview
Dongzhu Liu
8
papers ·
12
citations
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Most-cited papers
Privacy For Free: Wireless Federated Learning Via Uncoded Transmission With Adaptive Power Control
2020 · 8 citations
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers
2021 · 3 citations
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy
2021 · 1 citations
Federated Martingale Posterior Samping
2026
Three Birds, One Stone: Solving the Communication-Memory-Privacy Trilemma in LLM Fine-tuning Over Wireless Networks with Zeroth-Order Optimization
2026
Joint Compression and Deadline Optimization for Wireless Federated Learning
2023
Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
2024
Top co-authors
Osvaldo Simeone
· 5
Guangxu Zhu
· 2
Mingzhao Guo
· 2
Bin Wang
· 1
Boning Zhang
· 1
Boning Zhang
· 1
Caijun Zhong
· 1
Dimitrios Pezaros
· 1
Dingzhu Wen
· 1
Guanchu Wang
· 1
Guangxu Zhu
· 1
Haolong Chen
· 1
Topics
Federated Learning
Optimization
Communication
Privacy
Data Heterogeneity
Edge Computing