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Author

Changxin Lu

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#edge computing Oct 2026

Mitigating Edge Heterogeneity for Hierarchical Federated Learning: Prototype System and Convergence Analysis

Hierarchical federated learning (HFL) emerges as a promising solution for distributed systems in real-world IoT, compensating for the limitations of client and training data through multilevel aggregation. However, severe system heterogeneity, such as data heterogeneity, differentiated communication and computing power...

D. Wu, Changxin Lu, Zhi-Yuan Zhu et al. · 0 citations
2026

Disentangle to Align: A New Paradigm for Robust Change Detection via Adversarial Feature Purification

Remote sensing change detection (RSCD) remains vulnerable to pseudo-changes caused by seasonal, illumination, and atmospheric discrepancies between bi-temporal images. Existing deep models often ignore this temporal distribution gap or align entangled features directly, which may corrupt change-relevant semantics and c...

Changxin Lu, Sijun Dong, Xiaoliang Meng · 0 citations

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