Adaptive AI Task Partitioning and Safe Offloading in Heterogeneous Edge-Cloud Continuum
A framework that dynamically splits neural network layers across the heterogeneous continuum and achieves reductions in energy and end-to-end latency is proposed, confirming the superiority of adaptive to static partitioning.
Akuen Akoi Deng, Eimantas Butkus, Alfreds Lapkovskis et al.
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