Prompt-engineered GPT-4o-mini produces feasible and often optimal task allocations in small MEC networks, but the paper offers no code, no error bars, and no formal guarantee.
Deep learning for dist ributed op- timization: Applications to wireless resource management ,
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Constraint-Compliant Network Optimization through Large Language Models
Prompt-engineered GPT-4o-mini produces feasible and often optimal task allocations in small MEC networks, but the paper offers no code, no error bars, and no formal guarantee.