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Self-supervised Discriminative Feature Learning for Multi-view Clustering
Multi-view clustering is an important research topic due to its capabili...
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Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Recent breakthroughs in deep learning (DL) have led to the emergence of ...
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Personalized Education in the AI Era: What to Expect Next?
The objective of personalized learning is to design an effective knowled...
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Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
This paper studies a federated learning (FL) system, where multiple FL s...
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Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
In recent years, ride-hailing services have been increasingly prevalent ...
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A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization
Textile manufacturing is a typical traditional industry involving high c...
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Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning
Multi-objective optimization of the textile manufacturing process is an ...
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Optimized Power Control for Over-the-Air Federated Edge Learning
Over-the-air federated edge learning (Air-FEEL) is a communication-effic...
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Asymmetric Interference Cancellation for 5G Non-Public Network with Uplink-Downlink Spectrum Sharing
Different from public 4G/5G networks that are dominated by downlink traf...
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5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
Due to the advancements in cellular technologies and the dense deploymen...
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Parallel Interactive Networks for Multi-Domain Dialogue State Generation
The dependencies between system and user utterances in the same turn and...
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Neural Dialogue State Tracking with Temporally Expressive Networks
Dialogue state tracking (DST) is an important part of a spoken dialogue ...
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Over-the-Air Computing for 6G – Turning Air into a Computer
Wireless data aggregation (WDA), referring to aggregating data distribut...
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A(DP)^2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
As deep learning models are usually massive and complex, distributed lea...
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Optimized Amplify-and-Forward Relaying for Hierarchical Over-the-Air Computation
Over-the-air computation (AirComp) is an emerging wireless technique wit...
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Deep Embedded Multi-view Clustering with Collaborative Training
Multi-view clustering has attracted increasing attentions recently by ut...
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Cooperative Interference Management for Over-the-Air Computation Networks
This paper considers a multi-cell AirComp network and investigates the o...
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Unconditionally positivity preserving and energy dissipative schemes for Poisson–Nernst–Planck equations
We develop a set of numerical schemes for the Poisson–Nernst–Planck equa...
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A Survey of Prototype and Experiment for UAV Communications
Unmanned aerial vehicle (UAV) communications have attracted significant ...
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Adversarial Machine Learning based Partial-model Attack in IoT
As Internet of Things (IoT) has emerged as the next logical stage of the...
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Enabling Cross-chain Transactions: A Decentralized Cryptocurrency Exchange Protocol
Inspired by Bitcoin, many different kinds of cryptocurrencies based on b...
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Real-Time Resource Allocation for Wireless Powered Multiuser Mobile Edge Computing With Energy and Task Causality
This paper considers a wireless powered multiuser mobile edge computing ...
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UAV-Enabled Data Collection for Wireless Sensor Networks with Distributed Beamforming
This paper studies an unmanned aerial vehicle (UAV)-enabled wireless sen...
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Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
This paper studies federated learning (FL) in a classic wireless network...
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Outage Probability Minimization for UAV-Enabled Data Collection with Distributed Beamforming
This paper studies an unmanned aerial vehicle (UAV)-enabled wireless sen...
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Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design
This paper studies a federated edge learning system, in which an edge se...
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D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge
Mobile edge learning is an emerging technique that enables distributed e...
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Joint 3D Maneuver and Power Adaptation for Secure UAV Communication with CoMP Reception
This paper studies a secrecy unmanned aerial vehicle (UAV) communication...
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Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems via Joint Transmit and Reflective Beamforming
This paper investigates an intelligent reflecting surface (IRS)-aided mu...
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Federated Learning for Healthcare Informatics
Recent rapid development of medical informatization and the correspondin...
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Joint Communication and Computation Optimization for Wireless Powered Mobile Edge Computing with D2D Offloading
This paper studies a wireless powered mobile edge computing (MEC) system...
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Joint Transmit and Reflective Beamforming Design for IRS-Assisted Multiuser MISO SWIPT Systems
This paper studies an intelligent reflecting surface (IRS)-assisted mult...
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Common Throughput Maximization for UAV-Enabled Interference Channel with Wireless Powered Communications
This paper studies an unmanned aerial vehicle (UAV)-enabled two-user int...
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Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
Distant supervision for relation extraction enables one to effectively a...
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Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel
This paper considers an unmanned aerial vehicle enabled-up link non-orth...
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READ: a three-communicating-stage distributed super points detections algorithm
A super point is a host that interacts with a far larger number of count...
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Optimal Energy Allocation and Task Offloading Policy for Wireless Powered Mobile Edge Computing Systems
This paper studies a wireless powered mobile edge computing (MEC) system...
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The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
Privacy has raised considerable concerns recently, especially with the a...
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Optimal Power Control for Over-the-Air Computation in Fading Channels
In this paper, we study the power control problem for Over-the-air compu...
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3D Trajectory Optimization for Secure UAV Communication with CoMP Reception
This paper studies a secrecy unmanned aerial vehicle (UAV) communication...
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When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing
Defense strategies have been well studied to combat Byzantine attacks th...
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Radio-Map-Based Robust Positioning Optimization for UAV-Enabled Wireless Power Transfer
This letter studies an unmanned aerial vehicle-enabled wireless power tr...
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Fundamental Rate Limits of UAV-Enabled Multiple Access Channel with Trajectory Optimization
This paper studies an unmanned aerial vehicle (UAV)-enabled multiple acc...
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Budget-constrained Edge Service Provisioning with Demand Estimation via Bandit Learning
Shared edge computing platforms, which enable Application Service Provid...
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Cognitive Wireless Power Transfer in the Presence of Reactive Primary Communication User
This paper studies a cognitive or secondary multi-antenna wireless power...
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Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile-Edge Computing
With the proliferation of computation-extensive and latency-critical app...
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Optimal Resource Allocation for Wireless Powered Mobile Edge Computing with Dynamic Task Arrivals
This paper considers a wireless powered multiuser mobile edge computing ...
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Secrecy Transmission in Large-Scale UAV-Enabled Wireless Networks
This paper considers the secrecy transmission in a large-scale unmanned ...
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GPU based Real-time Super Hosts Detection at Distributed Edge Routers
The super host is a special host on the network which contacts with many...
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Cognitive UAV Communication via Joint Maneuver and Power Control
This paper investigates a new spectrum sharing setting between unmanned ...
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