Introduces aggregated gigaflops as an iterative diffusive metric for distributed task partitioning in UAV swarms, with early-exit adaptation, claiming better latency, throughput, fairness, and energy use than baselines in simulations.
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Distributed Split Computing Using Diffusive Metrics for UAV Swarms
Introduces aggregated gigaflops as an iterative diffusive metric for distributed task partitioning in UAV swarms, with early-exit adaptation, claiming better latency, throughput, fairness, and energy use than baselines in simulations.