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Dacheng Tao โ most-cited papers & profile ยท Federated Learning
โ authors
ยท
overview
Dacheng Tao
161
papers ยท
1133
citations ยท
155
h-index
The University of Sydney ยท Nanyang Technological University ยท UNSW Sydney
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
2022 ยท 47 citations
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
2023 ยท 18 citations
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
2022 ยท 16 citations
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
2023 ยท 12 citations
Improving the Model Consistency of Decentralized Federated Learning
2023 ยท 11 citations
Visual Prompt Based Personalized Federated Learning
2023 ยท 8 citations
Subspace based Federated Unlearning
2023 ยท 7 citations
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
2023 ยท 7 citations
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms
2020 ยท 6 citations
Fusion of Global and Local Knowledge for Personalized Federated Learning
2023 ยท 4 citations
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training
2023 ยท 3 citations
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
2023 ยท 3 citations
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
2023 ยท 2 citations
Make Landscape Flatter in Differentially Private Federated Learning
2023 ยท 1 citations
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning
2023 ยท 1 citations
Top co-authors
Li Shen
ยท 15
Yan Sun
ยท 6
Xueqian Wang
ยท 4
Yifan Shi
ยท 4
Guanghao Li
ยท 3
Liang Ding
ยท 3
Fengxiang He
ยท 2
Han Hu
ยท 2
Kang Wei
ยท 2
Tiansheng Huang
ยท 2
Yingqi Liu
ยท 2
Zihao Lin
ยท 2
Topics
Federated Learning
Communication
Privacy
Optimization
Data Heterogeneity