LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "computing power" as a keyword



Photo from wikipedia

Efficient and Privacy-Preserving Medical Data Sharing in Internet of Things With Limited Computing Power

Sign Up to like & get
recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2840504

Abstract: With the application of Internet of Things (IoT) technologies in smart city, intelligent medical terminals play a more and more significant role in our daily life. These terminals can monitor our physical conditions and get… read more here.

Keywords: data sharing; limited computing; internet things; encryption ... See more keywords

Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3110908

Abstract: The computing power of various Internet of Things (IoT) devices is quite different. To enable IoT devices with lower computing power to perform machine learning, all nodes can only train smaller models, which results in… read more here.

Keywords: model fusion; heterogeneous model; fusion federated; federated learning ... See more keywords
Photo from wikipedia

An Adaptive Mechanism for Dynamically Collaborative Computing Power and Task Scheduling in Edge Environment

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3119181

Abstract: Edge computing can provide high bandwidth and low-latency service for big data tasks by leveraging the edge side’s computing, storage, and network resources. With the development of microservice and docker technology, service providers can flexibly… read more here.

Keywords: task scheduling; adaptive mechanism; edge; computing power ... See more keywords

FedTAR: Task and Resource-Aware Federated Learning for Wireless Computing Power Networks

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3215805

Abstract: In the 6G era, the proliferation of data and data-intensive applications poses unprecedented challenges on the current communication and computing networks. The collaboration among cloud computing, edge computing, and networking is imperative to process such… read more here.

Keywords: federated learning; task resource; wireless computing; task ... See more keywords
Photo by javaistan from unsplash

Energy-Efficient Task Transfer in Wireless Computing Power Networks

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3223690

Abstract: The sixth generation (6G) wireless communication aims to enable ubiquitous intelligent connectivity in future space–air–ground–ocean-integrated networks, with extremely low latency and enhanced global coverage. However, the explosive growth in Internet of Things devices poses new… read more here.

Keywords: wireless computing; task; task transfer; computing power ... See more keywords

Adaptive Digital Twin Placement and Transfer in Wireless Computing Power Network

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2023.3328380

Abstract: Unpredictable network dynamics, resource heterogeneity, and user mobility pose challenges to efficient resource allocation in mobile networks. Digital twins (DTs), providing timely expression of features and accurate digital representations, offers new possibilities to enhance the… read more here.

Keywords: computing power; placement transfer; network; wireless computing ... See more keywords

AAV-Assisted Computing Power Network Task Allocation and 3-D Urban Trajectory Optimization

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3540547

Abstract: The computing power network (CPN) offers exceptional computational capabilities and reliable network services, with significant potential for future applications. To achieve ubiquitous coverage and efficient computational resource allocation, CPN can be seamlessly coordinated with low-cost… read more here.

Keywords: aav assisted; aav; allocation; computing power ... See more keywords

Task Offloading and Resource Management for IIoT With Satellite–Terrestrial Integrated Computing Power Network Based on D3QN

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3548056

Abstract: The management of computing resources through the computing power network (CPN) has gradually become a focal point of research. With the development of the 6th generation (6G) mobile networks, some promising technologies, such as satellite-terrestrial… read more here.

Keywords: task; task offloading; terrestrial integrated; satellite terrestrial ... See more keywords

Incentivizing Resource Contribution for Video Analytics in Computing Power Networking: A Dual-Layer Stackelberg Game Approach

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3564620

Abstract: The explosion of cameras embedded in IoT devices—from mobile phones to autonomous vehicles—has positioned video analytics as a transformative AI tool across healthcare, smart cities, and beyond. Yet, the substantial computing and bandwidth demands of… read more here.

Keywords: resource; computing power; dual layer; game ... See more keywords

AdaptPerf: On Adaptive and Scalable Computing Power Measurement for Heterogeneous Devices

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3564899

Abstract: Computing power measurement faces the challenges of heterogeneity of devices, poor scalability with workloads, and discrepancies between measurement methods and models. In this article, we propose a computing power measurement framework called AdaptPerf to address… read more here.

Keywords: power measurement; adaptperf adaptive; heterogeneous devices; measurement ... See more keywords

Self-Adaptive Auxiliary Cube for Multi-Tenant Slicing in Multi-Layer Computing Power Networks

Sign Up to like & get
recommendations! Published in 2025 at "Journal of Lightwave Technology"

DOI: 10.1109/jlt.2025.3528578

Abstract: Multi-layer computing power networks (CPNs) are emerging as important information infrastructures and potential revenue streams for network operators. They support the exponential growth in computing demand by integrating ubiquitous computing resources within their IP/optical multi-layer… read more here.

Keywords: computing power; multi; multi layer; layer computing ... See more keywords