Instruction: Share your experience and insights on deploying machine learning models in edge computing environments.
Context: This question seeks to uncover the candidate's knowledge and experience in leveraging edge computing for ML model deployments.
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When I think about edge deployment, I focus on what must happen locally versus what can remain centralized. Edge inference is useful when latency, privacy, offline operation, or bandwidth constraints make cloud-only inference unattractive.
The main engineering issues...
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