[HTML][HTML] Federated deep reinforcement learning based task offloading with power control in vehicular edge computing
S Moon, Y Lim - Sensors, 2022 - mdpi.com
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing.
S Moon, Y Lim - Sensors (Basel, Switzerland), 2022 - europepmc.org
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
S Moon, Y Lim - Sensors, 2022 - search.proquest.com
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
[HTML][HTML] Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
S Moon, Y Lim - Sensors (Basel, Switzerland), 2022 - ncbi.nlm.nih.gov
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
S Moon, Y Lim - SENSORS, 2022 - scholarworks.sookmyung.ac.kr
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
[PDF][PDF] Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
S Moon, Y Lim - Sensors, 2022 - pdfs.semanticscholar.org
Vehicular edge computing (VEC) is a promising technology for supporting
computationintensive vehicular applications with low latency at the network edges. Vehicles …
computationintensive vehicular applications with low latency at the network edges. Vehicles …
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing.
S Moon, Y Lim - Sensors (14248220), 2022 - search.ebscohost.com
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
S Moon, Y Lim - Sensors (Basel, Switzerland), 2022 - pubmed.ncbi.nlm.nih.gov
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
S Moon, Y Lim - Sensors, 2022 - ui.adsabs.harvard.edu
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …