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11/25/2022
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning
In malware detection, dynamic analysis extracts the runtime behavior of ...
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08/14/2022
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Federated learning offers a framework of training a machine learning mod...
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08/09/2021
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
The advances in deep neural networks (DNN) have significantly enhanced r...
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Coordinated Container Migration and Base Station Handover in Mobile Edge Computing
Offloading computationally intensive tasks from mobile users (MUs) to a ...
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04/15/2020
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing
Advances in deep neural networks (DNN) greatly bolster real-time detecti...
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