Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data

Author:

Chai Di1,Wang Leye2,Zhang Junxue1,Yang Liu1,Cai Shuowei1,Chen Kai1,Yang Qiang1

Affiliation:

1. Hong Kong University of Science and Technology, Hong Kong, China

2. Peking University, Beijing, China

Funder

National Key Research and Development Program of China

NSFC

Key-Area Research and Development Program of Guangdong Province

Hong Kong RGC TRS

Publisher

ACM

Reference27 articles.

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2. Aditya Bhaskara and Maheshakya Wijewardena. 2019. On Distributed Averaging for Stochastic k-PCA. In NeurIPS. 11024--11033. Aditya Bhaskara and Maheshakya Wijewardena. 2019. On Distributed Averaging for Stochastic k-PCA. In NeurIPS. 11024--11033.

3. Kallista A. Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal and Karn Seth. 2017. Practical Secure Aggregation for Privacy-Preserving Machine Learning. In CCS. ACM 1175--1191. Kallista A. Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal and Karn Seth. 2017. Practical Secure Aggregation for Privacy-Preserving Machine Learning. In CCS. ACM 1175--1191.

4. Secure Federated Matrix Factorization

5. Reorthogonalization and stable algorithms for updating the Gram-Schmidt QR factorization;Daniel James W;Math. Comp.,1976

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