Distributional Reinforcement Learning for task offloading, resource allocation and early exit selection at the edge
Simulation results confirm that integrating EE with edge computing significantly improves the trade-off between inference accuracy and latency, achieving up to 212% improvement in the average task completion ratio compared to edge computing systems without EE, under the considered simulation settings.
Simone Angelucci, R. Valentini, M. Levorato et al.
· Comput. Networks · 0 citations