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   Articles with "task partitioning" as a keyword



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D3PG: Dirichlet DDPG for Task Partitioning and Offloading with Constrained Hybrid Action Space in Mobile Edge Computing

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3166110

Abstract: Mobile Edge Computing (MEC) has been regarded as a promising paradigm to reduce service latency for data processing in Internet of Things, by provisioning computing resources at network edge. In this work, we jointly optimize… read more here.

Keywords: task partitioning; edge; hybrid action; action space ... See more keywords

Bayesian Optimization-Based Time-Sensitive and Power-Efficient DNN Task Partitioning in a Dynamic IoT Computing System

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3556425

Abstract: Deploying deep neural networks (DNNs) on resource-constrained Internet of Things (IoT) devices is challenging due to limited processing power, energy constraints, and stringent latency requirements. This article introduces a new method to split DNN tasks… read more here.

Keywords: bayesian optimization; dnn; task partitioning; dnn task ... See more keywords

Task Partitioning and Offloading in DNN-Task Enabled Mobile Edge Computing Networks

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recommendations! Published in 2023 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2021.3114193

Abstract: Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN, this paper develops a joint design of task partitioning and… read more here.

Keywords: task enabled; task; task partitioning; dnn task ... See more keywords

PHyPO: Priority-based Hybrid task Partitioning and Offloading in mobile computing using automated machine learning

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recommendations! Published in 2024 at "PLOS ONE"

DOI: 10.1371/journal.pone.0314198

Abstract: With the increasing demand for mobile computing, the requirement for intelligent resource management has also increased. Cloud computing lessens the energy consumption of user equipment, but it increases the latency of the system. Whereas edge… read more here.

Keywords: task; priority based; mobile computing; task partitioning ... See more keywords