Seeking Consensus on Subspaces in Federated Principal Component Analysis
Author:
Funder
National Science Fund for Distinguished Young Scholars
Shenzhen Science and Technology Innovation Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10957-024-02523-1.pdf
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5. Chai, D., Wang, L., Zhang, J., Yang, L., Cai, S., Chen, K., Yang, Q.: Practical lossless federated singular vector decomposition over billion-scale data. In: Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining, pp 46–55 (2022). 10.1145/3534678.3539402
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