In this paper, we propose and build a demo for an adaptive anomaly detection approach for distributed hierarchical edge computing (HEC) systems to solve this ...
Anomaly detection (AD) with edge or fog computing [4], [5] provides an alternative by performing distributed AD in the proximity of sensory data sources.
The proposed adaptive anomaly detection approach for distributed hierarchical edge computing (HEC) systems is formulated as a contextual bandit problem ...
The advances in deep neural networks (DNN) have significantly enhanced real-time detection of anomalous data in IoT applications. However, the complexity- ...
Aug 9, 2021 · In this paper, we address this challenge by proposing an adaptive anomaly detection scheme with hierarchical edge computing (HEC).
The scheme follows a single-step Markov decision process by formulating the model selection problem as a contextual bandit problem. By selecting appropriate ...
Oct 27, 2021 · In this article, we address this challenge by proposing an adaptive anomaly detection scheme with hierarchical edge computing (HEC).
The selection is formulated as a contextual bandit problem and is characterized by a single-step Markov decision process, with an objective of achieving high ...
Contextual-Bandit Anomaly Detection for IoT Data in Hierarchical Edge Computing: (PhD at SUTD). In this project, we designed an adaptive scheme to select one ...
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This article designs an adaptive model selection scheme that is formulated as a contextual-bandit problem and solved by using a reinforcement learning ...