Article

Achieving Explainable, Scalable, and Robust Machine Learning for Real-World Applications

2025-06-30

Abstract excerpt

The increasing deployment of machine learning systems in high-stakes and resource-constrained environments has accentuated the necessity for models that are simultaneously explainable, scalable, and robust. While each of these desiderata has been extensively studied in isolation, their integration remains a critical open challenge due to inherent trade-offs and complex interactions. This paper presents a comprehen...

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Literature Corpus work: 38ed702c-b4db-5799-beff-e993324ca2d1
DOI: 10.20944/preprints202506.2515.v1

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