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Author

Brindeshwar Sharma

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#reinforcement learning Open access Oct 2026

Security-Aware Adaptive Computation Offloading in Mobile Edge Computing Using Reinforcement Learning and Deep Q-Networks

Simulation of a security-aware adaptive computation offloading pipeline for Mobile Edge Computing: an analytical bandwidth threshold, Q-Learning and a Deep Q-Network over a continuous state, Lyapunov drift-plus-penalty queue control, and Object Dependency Graph vulnerability scoring. Preprint draft, not peer reviewed;...

Brindeshwar Sharma · 0 citations
#reinforcement learning Open access Oct 2026

Security-Aware Adaptive Computation Offloading in Mobile Edge Computing Using Reinforcement Learning and Deep Q-Networks

Mobile Edge Computing (MEC) enables resource-constrained mobile devices to offload computation-intensive tasks to nearby edge servers. Existing computation offloading approaches primarily optimise latency, energy consumption, or resource allocation, but often do not consider security constraints and multi-user queue st...

Brindeshwar Sharma · 0 citations
#reinforcement learning Open access Oct 2026

Security-Aware Adaptive Computation Offloading in Mobile Edge Computing Using Reinforcement Learning and Deep Q-Networks

Mobile Edge Computing (MEC) enables resource-constrained mobile devices to offload computation-intensive tasks to nearby edge servers. Existing computation offloading approaches primarily optimise latency, energy consumption, or resource allocation, but often do not consider security constraints and multi-user queue st...

Brindeshwar Sharma · 0 citations

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