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Xiaoying Tang — most-cited papers & profile · Federated Learning
← authors
·
overview
Xiaoying Tang
13
papers ·
33
citations ·
0
h-index
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Most-cited papers
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
2022 · 9 citations
DELTA: Diverse Client Sampling for Fasting Federated Learning
2022 · 8 citations
FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems
2023 · 2 citations
ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
2025 · 1 citations
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
2023 · 1 citations
FLEx: Personalized Federated Learning for Mixture-of-Experts LLMs via Expert Grafting
2025
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
2023
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance
2023
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning
2024
Top co-authors
Yongxin Guo
· 5
Tao Lin
· 3
Bikang Pan
· 1
Carl Yang
· 1
Dun Zeng
· 1
Fan Liu
· 1
Han Xie
· 1
Jingya Wang
· 1
Lifang He
· 1
Lin Wang
· 1
Lin Wang
· 1
Lin Wang
· 1
Topics
Federated Learning
Privacy
Communication
Data Heterogeneity
Optimization