79 citations · 219 across the 13 of their papers we have counts for
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cs.LG2024
Federated Graph Semantic and Structural Learning
Wenke Huang, Guancheng Wan, Mang Ye +1
Federated graph learning collaboratively learns a global graph neural network with distributed graphs, where the non-independent and identically distributed property is one of the…
cs.LG2023★ 5 cited
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
Wenke Huang, Mang Ye, Zekun Shi +1
Federated learning is an important privacy-preserving multi-party learning paradigm, involving collaborative learning with others and local updating on private data. Model heteroge…
cs.LG2023★ 19 cited
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye, Xiuwen Fang, Bo Du +2
Federated learning (FL) has drawn increasing attention owing to its potential use in large-scale industrial applications. Existing federated learning works mainly focus on model ho…