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Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management
Unmanned aerial vehicles (UAVs) are capable of serving as flying base st...
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Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images
In this paper, we propose an easily trained yet powerful representation ...
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Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
3D moving object detection is one of the most critical tasks in dynamic ...
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Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach
Narrowband internet-of-things (NB-IoT) is a competitive 5G technology fo...
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Fast Reinforcement Learning for Anti-jamming Communications
This letter presents a fast reinforcement learning algorithm for anti-ja...
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Self-supervised Domain Adaptation for Computer Vision Tasks
Recent progress of self-supervised visual representation learning has ac...
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Secure Mobile Crowdsensing with Deep Learning
In order to stimulate secure sensing for Internet of Things (IoT) applic...
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IoT Security Techniques Based on Machine Learning
Internet of things (IoT) that integrate a variety of devices into networ...
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Defense Against Advanced Persistent Threats in Dynamic Cloud Storage: A Colonel Blotto Game Approach
Advanced Persistent Threat (APT) attackers apply multiple sophisticated ...
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Security in Mobile Edge Caching with Reinforcement Learning
Mobile edge computing usually uses cache to support multimedia contents ...
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Learning-Based Computation Offloading for IoT Devices with Energy Harvesting
Internet of Things (IoT) devices can apply mobile-edge computing (MEC) a...
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Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning
By using smart radio devices, a jammer can dynamically change its jammin...
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Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Long Short-Term Memory (LSTM) is a popular approach to boosting the abil...
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