Authors: Rolando Garcia, Anusha Dandamudi, Gabriel Matute, Lehan Wan, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen

Published on: October 11, 2023

Impact Score: 8.22

Arxiv code: Arxiv:2310.07898

Summary

• What is new: Introduces Multiversion Hindsight Logging for debugging machine learning models across multiple versions.
• Why this is important: The challenge of debugging ML models due to numerous versions of code and training data.
• What the research proposes: FlorDB uses Multiversion Hindsight Logging with log statement propagation and a unified relational model for historical queries.
• Results: Demonstrated scalability and real-time query responses in diverse benchmarks.

Technical Details

Technological frameworks used: FlorDB

Models used: nan

Data used: nan

Potential Impact

Data science platforms, ML development tools, and AI-driven companies.

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