Two-stage evolutionary search for efficient task offloading in edge computing power networks
In this article, we introduce the concept of edge computing power network (EdgeCPN) as a
new paradigm to facilitate elastic integration and flexible scheduling of computing resources …
new paradigm to facilitate elastic integration and flexible scheduling of computing resources …
Towards Efficient and Robust Federated Unlearning in IoT Networks
Owing to its practical configuration to edge computing and privacy preservation capabilities,
federated learning (FL) has been increasingly appealing in Internet of Things (IoT) networks …
federated learning (FL) has been increasingly appealing in Internet of Things (IoT) networks …
Deep reinforcement learning-based computation offloading for mobile edge computing in 6G
H Sun, J Wang, D Yong, M Qin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The impending 6G network is envisioned to seamlessly interconnect a myriad of consumer
electronics (CEs), facilitating a wide array of applications accessible from any location and at …
electronics (CEs), facilitating a wide array of applications accessible from any location and at …
LsiA3CS: Deep Reinforcement Learning-Based Cloud-Edge Collaborative Task Scheduling in Large-Scale IIoT
Task scheduling in large-scale industrial Internet of Things (IIoT) is characterized by the
presence of diverse resources and the requirement for efficient and synchronized …
presence of diverse resources and the requirement for efficient and synchronized …
Online quality-based privacy-preserving task allocation in mobile crowdsensing
Z Chen, M Xu, C Su - Computer Networks, 2024 - Elsevier
Aimed at the existing problems, such as the improving requirements on privacy, and the low
quality of collected data in mobile crowd sensing, one online Quality-based Privacy …
quality of collected data in mobile crowd sensing, one online Quality-based Privacy …
[PDF][PDF] RPL-Based IoT Networks under Decreased Rank Attack: Performance Analysis in Static and Mobile Environments.
A Hkiri, M Karmani, OB Bahri, AM Murayr… - … Materials & Continua, 2024 - cdn.techscience.cn
ABSTRACT The RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) protocol is
essential for efficient communication within the Internet of Things (IoT) ecosystem. Despite …
essential for efficient communication within the Internet of Things (IoT) ecosystem. Despite …
Publicly verifiable and secure SVM classification for cloud-based health monitoring services
In cloud-based health monitoring services, healthcare centers often outsource support
vector machine (SVM)-based clinical decision models to provide remote users with clinical …
vector machine (SVM)-based clinical decision models to provide remote users with clinical …
Privacy-preserving batch-based task assignment over spatial crowdsourcing platforms
Y Lin, Y Jiang, Y Li, Y Zhou - Computer Networks, 2024 - Elsevier
With the rapid development of mobile networks and the widespread use of mobile devices,
an increasing number of spatial crowdsourcing platforms have emerged. Task assignment is …
an increasing number of spatial crowdsourcing platforms have emerged. Task assignment is …
[HTML][HTML] FLARE: A Backdoor Attack to Federated Learning with Refined Evasion
Q Wang, Y Wu, H Xuan, H Wu - Mathematics, 2024 - mdpi.com
Federated Learning (FL) is vulnerable to backdoor attacks in which attackers inject
malicious behaviors into the global model. To counter these attacks, existing works mainly …
malicious behaviors into the global model. To counter these attacks, existing works mainly …
Joint AP Selection and Task Offloading Based on Deep Reinforcement Learning for Urban-Micro Cell-Free UAV Network
The flexible mobility feature of unmanned aerial vehicles (UAVs) leads to frequent
handovers and serious inter-cell interference problems in UAV-assisted cellular networks …
handovers and serious inter-cell interference problems in UAV-assisted cellular networks …