Scalable, efficient, and secure machine learning data systems
Stanford University, 2025
Abstract
This dissertation develops scalable, efficient, and secure data systems for the end-to-end machine-learning training pipeline, from storing and processing massive datasets to feeding datacenter-scale accelerator clusters.