As necessary information about whether cooperation can be reached, rewards should be determined in advance in Vertical Federated Learning (VFL). To determine reasonable rewards, participant contributions should be estimated precisely. We propose a ...

With the remarkable advancement of deep learning techniques and the wide availability of large-scale datasets, the performance of audio-visual saliency prediction has been drastically improved. Actually, audio-visual saliency prediction is still at an ...

In recent years, urban search and rescue (USAR) tasks in unknown environments have arisen widespread attention in the domain of Smart City. However, the complexity and unpredictability of unknown environments pose great difficulties for decision-...

To meet the surging wireless traffic demand, underlaying cellular networks with device-to-device (D2D) communication to reuse the cellular spectrum has been envisioned as a promising solution. In this paper, we aim to secure the D2D communication of the ...

Semantic image compression can greatly reduce the amount of transmitted data by representing and reconstructing images using semantic information. Considering the fact that objects in an image are not equally important at the semantic level, we ...

The task of sequential recommendation aims to predict a user’s preference by analyzing the user’s historical behaviours. Existing methods model item transitions through leveraging sequential patterns. However, they mainly consider the target user’s ...

The application of UAV swarm has been very wide, including rescue, search, confrontation, assistance communication, path search, etc. Usually, when UAV swarm performs a task, it needs to solve many problems, including but not limited to the requirement ...

Unmanned Air Vehicle (UAV) has been widely used as the flying edge server to support ground vehicles’ Onboard-Unit (OBU) applications. In this work, we address the challenges of training an adaptive learning model which can be deployed on ...

In this paper, a novel hierarchical game framework for physical layer security (PLS) aware wireless communications with dynamic trilateral coalitions is studied. In the considered system, legitimate users (LUs) aim to transmit secret data to associated ...

In multi-UAV networks, the downlink (DL) and uplink (UL) associations between a UAV and a user equipment (UE) is typically coupled, which restricts each UE to associate to the same UAV for both DL and UL. However, this mode may not be efficient since UAV ...

In this article, we investigate the content transmission in a heavy-crowded multiple access cellular network, whose data traffic is offloaded through the combination of edge caching and unmanned aerial vehicle (UAV) communication. In this context, we ...

Grouping vehicles into platoons is a promising cooperative driving scenario to enhance the traffic safety and capacity of future vehicular networks. However, fast changing channel conditions in multi-platoon vehicular networks cause tremendous uncertainty ...

Feature selection can be used to solve imbalanced classification problems encountered in big data projects. There often exist multiple feature subsets achieving the same accuracy. These subsets tend to exhibit different acquisition difficulty and ...

Detecting leaks in water networks is a costly challenge. This article introduces a practical solution: the integration of optical network with water networks for efficient leak detection. Our approach uses a fiber-optic cable to measure vibrations, ...

In this article, we propose a novel scheduling scheme to guarantee per-packet delay in single-hop wireless networks for delay-critical applications. We consider several classes of packets with different delay requirements, where high-class packets yield ...

In this paper, a long-term workload management problem for multi-server edge computing with server collaboration is studied. In the considered model, mobile users’ computation-intensive tasks are generated dynamically over the time and offloaded to ...

With the dawn of 5G network, a new set of requirements for site spectrum monitoring, location-based services (LBS), network construction, and cellular planning are emerging, all of which are relying on fine-grained signal map. Although with significant ...

In unmanned aerial vehicles (UAVs) assisted cellular networks, user association plays an important role in interference control and spectrum efficiency. In this paper, we study the performance of uplink-downlink decoupled (UDDe) user association in a ...

Sequential recommendation aims to capture users' dynamic preferences, in which data sparsity is a key problem. Most contrastive learning models leverage data augmentation to address this problem, but they amplify noises in original sequences. Contrastive ...

In this paper, we study the joint optimization of task allocation and charging scheduling of mobile charging vehicles (MCVs) for parked-vehicle-assisted edge computing networks. In the proposed model, a group of electric vehicles (EVs) that have ...