k-Medoids Clustering algorithm is one of the most commonly used clustering methods. However, it does not consider the weight of each feature, and the selection of center points is random, which may affect the clustering results. Granularity computing analyzes knowledge from various perspectives, considering the level o...
Lin-Shu Chen, Liang Li, Xue-Qi Ye et al.· International Journal of Int...· 0 citations
Federated learning (FL) faces significant communication overhead due to the repeated exchange of large gradient tensors between clients and the server. While existing compression techniques, such as sparsification and quantization, help reduce this cost, they often result in information loss, which can negatively impac...
Jia-Hong Xiao, Yuxiang Chen, Chao-Yi Yang et al.· IEEE Transactions on Mobile...· 0 citations
In blockchain-based medical data sharing systems, sensitive medical data such as electronic health records and diagnostic reports require secure sharing with fine-grained access control and accountable usage. Existing attribute-based encryption (ABE) schemes lack mechanisms for auditing data usage after decryption, lea...
Ke-Fei Li, Xiangwei Meng, Cang-Ming Liang et al.· Fall Joint Computer Conferen...· 0 citations
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.
Cang-Ming Liang, Kuan Ching Li, Zulong Diao et al.· Tsinghua Science and Technol...· 0 citations
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