Privacy-Preserving Machine Learning on Apache Spark

The adoption of third-party machine learning (ML) cloud services is highly dependent on the security guarantees and the performance penalty they incur on workloads for model training and inference. This paper explores security/performance trade-offs for the distributed Apache Spark framework and its...

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Bibliographic Details
Main Authors: Claudia V. Brito, Pedro G. Ferreira, Bernardo L. Portela, Rui C. Oliveira, Joao T. Paulo
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10314994/

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