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Wen-Ting Shen

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Open access Oct 2026

PA-CFL: Privacy-Preserving Adaptive Clustered Federated Learning Under Heterogeneous Data

Clustered federated learning (CFL) addresses data heterogeneity by grouping clients with similar data distributions and training personalized models for each cluster. However, existing CFL schemes depend on clustering-related parameters that require prior knowledge of client data distributions. Such information is ofte...

Tai-Hao Zhang, Wen-Ting Shen, Han-Lin Zhang et al. · 0 citations
2026

Privacy-Preserving Deduplication and Data Integrity Auditing for Compressed Cloud Storage

Integrating data deduplication with integrity auditing offers a practical approach to reducing cloud storage cost while safeguarding the integrity of outsourced data. Most of the existing schemes attempt to further reduce storage cost by performing authenticator deduplication on top of data deduplication. However, thes...

Xiang Zheng, Wen-Ting Shen, Jing Qin · 0 citations

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