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Kuan Ching Li

FIET SMIEEE

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Open access Aug 2026

HFL-Lite: Sparse Coding for Lightweight Hierarchical Federated Learning in Computation-Limited Sensor Networks

This work proposes HFL-Lite, a hierarchical federated learning framework that achieves practical privacy without cryptographic primitives, and shows that HFL-Lite reduces per-round communication to 0.5 KB and sensor-side latency to 9 ms while delivering competitive accuracy.

Cangming Liang, Kuan Ching Li, Zulong Diao et al. · 0 citations
Aug 2026

CHSIM: counterfactual consistency and hierarchical modeling for semantic inconsistency in multimodal sentiment analysis

CHSIM, a unified MSA framework for robust text–image sentiment modeling that combines three complementary mechanisms: prediction-consistency regularization under stochastic latent masking, hierarchical cross-modal alignment, and global bidirectional sequence modeling, is proposed.

Siyang Zhang, Guangli Zhu, Qianjin Zhao et al. · 0 citations

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