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Mikhail Tishin

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#reinforcement learning Open access Oct 2026

Comparison and Contrast of two Machine Learning Assisted In-Device Scheduling Applications

Managing offloaded tasks efficiently is vital for keeping devices fast and responsive. The main hurdle is finding a way to schedule and run these incoming workloads without starving local applications of critical CPU, RAM, and energy. This study evaluates how Federated Learning (FL) and Reinforcement Learning (RL) can...

Mikhail Tishin, Constandinos X. Mavromoustakis, Evangelos Markakis et al. · 0 citations

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