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Tongliang Liu — most-cited papers & profile · Federated Learning
← authors
·
overview
Tongliang Liu
43
papers ·
116
citations ·
62
h-index
The University of Sydney
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
2023 · 28 citations
FedDAG: Federated DAG Structure Learning
2021 · 13 citations
Robust Training of Federated Models with Extremely Label Deficiency
2024 · 5 citations
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
2023 · 2 citations
FedImpro: Measuring and Improving Client Update in Federated Learning
2024 · 2 citations
MANDERA: Malicious Node Detection in Federated Learning via Ranking
2021
Federated Causal Discovery from Heterogeneous Data
2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
2024
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
2024
Top co-authors
Bo Han
· 5
Xinmei Tian
· 3
Zhiqin Yang
· 2
Ang Li
· 1
Bin Gu
· 1
Erdun Gao
· 1
Gang Niu
· 1
Gongxu Luo
· 1
Guangyi Chen
· 1
Hao Peng
· 1
Jiancheng Lv
· 1
Jiangchao Yao
· 1
Topics
Federated Learning
Data Heterogeneity
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