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2026

Privacy-Preserving Framework: Joint Sensitive Semantic Partitioning and Channel Estimation-Based Channel Selection

Ensuring the security of users’ sensitive semantic information has become a critical challenge in modern semantic communication systems. Identifying highly sensitive semantic content and selecting secure transmission environments significantly enhances overall network robustness. To address this issue, this study propo...

Xuejie Hu, Yue Tian, Zhidu Li et al. · 0 citations

Fast Federated Learning via Imprecise Correction in Unreliable Wireless Networks

Due to data heterogeneity and parameter transmission failure, federated learning (FL) usually suffers performance degradation in wireless networks. To address this issue, a novel federated Learning via reusing historical Information (FedRe) is proposed for convergence acceleration and performance enhancement without an...

Juzhen Wang, Zhidu Li, Dongshen Luo et al. · 0 citations

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