DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multiagent Reinforcement Learning Approach
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DOI: 10.1109/jiot.2025.3541715
Abstract: uncrewed aerial vehicles (UAVs) offer high mobility and flexible deployment capabilities, making them ideal for Internet of Things (IoT) applications. However, the substantial amount of data generated by various applications within the existing low-altitude network… read more here.
Keywords: task; dnn task; task assignment; path ... See more keywords
Bayesian Optimization-Based Time-Sensitive and Power-Efficient DNN Task Partitioning in a Dynamic IoT Computing System
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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
Sign Up to like & getrecommendations! 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