Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning
SPIRE, a Structural Entropy-Driven Graph Diffusion Generation method that introduces topology-aware client differentiation into one-shot FGL, employs first-order degree-distribution structural entropy as a compact descriptor of degree-mass dispersion and uses it to derive structural client weights, providing an inducti...
Shu-Tong Zheng, Le-Le Fu, Sheng Huang et al.
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