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Robust Machine Learning Against Faults in Micro-Controllers and Stragglers in Distributed Training on the Cloud

Nampally, SrilalithVirginia Tech2025

… in the past decade. Optimally deploying ML models onto smaller devices and efficiently training more powerful ML models in parallel in different distributed system topologies have drawn interests. This thesis studies the robustness of ML models in the two scenarios when deployed on …

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