Author

Chuan-Bin Zhang

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#federated learning Open access Oct 2026

LLM‐Powered Data Synthesis on Blockchain for Fusion Isomerism Learning in Heterogeneous Federated Systems

Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose fusion isomerism learning (FusionIL) , a secure and domain‐agnost...

Zhi-Hao Hao, Long-Bing Cao, Han Yu et al. · CAAI Transactions on Intelli... · 0 citations

Open access Sep 2026

CausalSTKT: Disentangled Spatiotemporal Heterogeneous Graph Learning for Robust Knowledge Tracing Under Distribution Shifts

CausalSTKT is proposed, an SCM-guided knowledge tracing framework that integrates spatiotemporal modeling over a global item–knowledge-component bipartite graph with disentangled representation learning and derives an out-of-distribution risk bound showing that a smaller representation-entanglement residual leads to a...

Jiaxian Zhu, Wei-Hua Bai, Han-Yang Chen et al. · Electronics · 0 citations