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Liangqiong Qu — most-cited papers & profile · Federated Learning
← authors
·
overview
Liangqiong Qu
19
papers ·
171
citations ·
26
h-index
Chinese University of Hong Kong · University of Hong Kong
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
2021 · 15 citations
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
2021 · 12 citations
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
2025 · 4 citations
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
2025 · 4 citations
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
2024 · 3 citations
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
2021 · 2 citations
A New Federated Learning Framework Against Gradient Inversion Attacks
2024 · 1 citations
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
2025
Exploring Federated Pruning for Large Language Models
2025
Selective Aggregation for Low-Rank Adaptation in Federated Learning
2024
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
2022
Top co-authors
Pengxin Guo
· 7
Yuyin Zhou
· 7
Shuang Zeng
· 5
Hui Xiong
· 2
Ehsan Adeli
· 1
Huijie Fan
· 1
Jinkai Zheng
· 1
Lei Xing
· 1
Li Fei-Fei
· 1
Mengting Liu
· 1
Miao Zhang
· 1
Ming Li
· 1
Topics
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Data Heterogeneity
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