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September 12, 2025International Journal of Basic and Applied SciencesOpen Access

A Comprehensive Study on Caching Mechanisms in Machine Learning Workflows

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Authors

SKS A KarthikSZSharmila ZopeVKVenkatagurunatham Naidu Kollu

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Overview

This research demonstrates how caching improves performance in machine learning systems, suggesting actionable strategies.

Key Points

  • Caching significantly enhances the efficiency of model training and inference, leading to faster ML processes.
  • Real-world case studies and experimental data provided valuable insights into the effectiveness of caching solutions.
  • A comprehensive literature review identified various caching algorithms and the challenges associated with their implementation.
  • Expert interviews validated findings and helped develop practical strategies for optimizing caching in ML workflows.

Cite This Study

Karthik et al. (2025) studied this question.

synapsesocial.com/papers/68d44c4631b076d99fa55a80https://doi.org/10.14419/x6r71327
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