most citedSFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE

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cs.CR2022★ 1 cited

SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE

Hongxiao Wang, Zoe L. Jiang, Yanmin Zhao +5

In recent years, distributed machine learning has garnered significant attention. However, privacy continues to be an unresolved issue within this field. Multi-key homomorphic encr…

cs.CR2022

Privacy-Preserving Distributed Machine Learning Made Faster

Zoe L. Jiang, Jiajing Gu, Hongxiao Wang +5

With the development of machine learning, it is difficult for a single server to process all the data. So machine learning tasks need to be spread across multiple servers, turning…