Instruction: Describe the approach for applying cross-validation methods in a distributed setting, ensuring model robustness and accuracy.
Context: This question tests the candidate's ability to adapt traditional ML validation techniques to distributed environments, crucial for large-scale ML applications.
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I would design distributed cross-validation so each fold is reproducible, isolated, and traceable. That means clear fold definitions, data partitioning that respects time or entity boundaries when needed, and infrastructure that can run folds in parallel without mixing artifacts...