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Md. Jakir Hossen

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Open access 2026

Hierarchical Graph Federated Learning for Cross-Domain Intelligent Transportation Networks

Experiments demonstrate that HG-FL achieves superior performance compared to centralized, flat federated, and graph-only baselines, and highlight the framework’s scalability, robustness, and effectiveness in achieving cross-domain generalization and service-level assurance within privacy-preserving ITS environments.

Mohammed Saad Javeed, Jannatul Maua, Md Shafiq Ullah et al. · 0 citations

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