Joint Optimization of Computing Offloading and Service Caching in Edge Computing-Based Smart Grid
IEEE Transactions on Cloud Computing, 2023With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in the number of Smart Devices (SDs), the data generated by SDs has exponentially increased. The traditional cloud-based smart grid cannot meet the low latency and
Huan Zhou +3 more
semanticscholar +1 more source
Task Partitioning and Offloading in DNN-Task Enabled Mobile Edge Computing Networks
IEEE Transactions on Mobile Computing, 2023Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN, this paper develops a joint design of task partitioning and offloading ...
Mingjin Gao +5 more
semanticscholar +1 more source
Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing
IEEE Transactions on Mobile Computing, 2023In edge computing (EC), federated learning (FL) enables massive devices to collaboratively train AI models without exposing local data. In order to avoid the possible bottleneck of the parameter server (PS) architecture, we concentrate on the ...
Lun Wang +4 more
semanticscholar +1 more source
LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing
IEEE Transactions on Information Forensics and Security, 2023Nowadays, many edge computing service providers expect to leverage the computational power and data of edge nodes to improve their models without transmitting data.
Zhuangzhuang Zhang +6 more
semanticscholar +1 more source
Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing
IEEE Transactions on Mobile Computing, 2023This article proposes a novel Reverse Auction-based Computation Offloading and Resource Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing.
Huan Zhou +5 more
semanticscholar +1 more source
UAV-Assisted Task Offloading in Vehicular Edge Computing Networks
IEEE Transactions on Mobile ComputingVehicular edge computing (VEC) provides an effective task offloading paradigm by pushing cloud resources to the vehicular network edges, e.g., road side units (RSUs).
Xingxia Dai +3 more
semanticscholar +1 more source
Edge Computing for Industry 5.0: Fundamental, Applications, and Research Challenges
IEEE Internet of Things JournalIndustry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity and intelligent technologies to provide manufacturing solutions.
Megha Sharma, Abhinav Tomar, A. Hazra
semanticscholar +1 more source
AI-Enabled Secure Microservices in Edge Computing: Opportunities and Challenges
IEEE Transactions on Services Computing, 2023The paradigm of edge computing has formed an innovative scope within the domain of the Internet of Things (IoT) through expanding the services of the cloud to the network edge to design distributed architectures and securely enhance decision-making ...
Firas Al-Doghman +4 more
semanticscholar +1 more source
Aerial Edge Computing on Orbit: A Task Offloading and Allocation Scheme
IEEE Transactions on Network Science and Engineering, 2023As the communication mode with the greatest attention and global network coverage, the Low Earth Orbit (LEO) satellite network has the characteristics of low propagation delay, low link loss and handheld terminal.
Yuru Zhang +5 more
semanticscholar +1 more source
Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing
ScienceArtificial intelligence (AI) edge devices prefer employing high-capacity nonvolatile compute-in-memory (CIM) to achieve high energy efficiency and rapid wakeup-to-response with sufficient accuracy.
Tai-Hao Wen +19 more
semanticscholar +1 more source