Results 341 to 350 of about 5,254,563 (393)

Aerial Edge Computing on Orbit: A Task Offloading and Allocation Scheme

IEEE Transactions on Network Science and Engineering, 2023
As 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, Chen Chen, Lei Liu, Dapeng Lan, Hongbo Jiang, Shaohua Wan   +5 more
semanticscholar   +1 more source

Privacy-Preserving Federated Learning for Industrial Edge Computing via Hybrid Differential Privacy and Adaptive Compression

IEEE Transactions on Industrial Informatics, 2023
With the continuous improvement of hardware computing power, edge computing of industrial data has been gradually applied. In the past decade, the promotion of edge computing has also greatly improved the efficiency of industrial production.
Bin Jiang, Jianqiang Li, Huihui Wang, H. Song   +3 more
semanticscholar   +1 more source

Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions

ACM Computing Surveys, 2023
Sensor-cloud originates from extensive recent applications of wireless sensor networks and cloud computing. To draw a roadmap of the current research activities of the sensor-cloud community, we first investigate the state-of-the-art sensor-cloud ...
Tian Wang, Yuzhu Liang, Xuewei Shen, Xi Zheng, A. Mahmood, Quan Z. Sheng   +5 more
semanticscholar   +1 more source

The Computation of Binocular Edges

Perception, 1980
A computational model is described which effects the binocular combination of monocular edge information. The distinctive features of the model are: (i) it identifies edge locations in each monocular field by searching for zero crossings in nonorientated centre-surround convolution profiles; (ii) it selects amongst all possible binocular point-for ...
John P. Frisby, John E. W. Mayhew
openaire   +3 more sources

Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions

IEEE Communications Surveys and Tutorials, 2023
Full leverage of the huge volume of data generated on a large number of user devices for providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI).
Qiang Duan, Jun Huang, Shijing Hu, Ruijun Deng, Zhihui Lu, Shui Yu   +5 more
semanticscholar   +1 more source

Deviceless edge computing [PDF]

Proceedings of the 10th ACM International Systems and Storage Conference, 2017
The serverless paradigm has been rapidly adopted by developers of cloud-native applications, mainly because it relieves them from the burden of provisioning, scaling and operating the underlying infrastructure. In this paper, we propose a novel computing paradigm - Deviceless Edge Computing that extends the serverless paradigm to the edge of the ...
Stefan Nastic, Alex Glikson, Schahram Dustdar   +2 more
openaire   +1 more source

Serverless Edge Computing—Where We Are and What Lies Ahead

IEEE Internet Computing, 2023
The edge–cloud continuum combines heterogeneous resources, which are complex to manage. Serverless edge computing is a suitable candidate to manage the continuum by abstracting away the underlying infrastructure, improving developers’ experiences, and ...
Philipp Raith, Stefan Nastic, S. Dustdar, S. Dustdar   +3 more
semanticscholar   +1 more source

A Middleware for Mobile Edge Computing

IEEE Cloud Computing, 2017
Telecom operators have recently started to deploy massive computing and storage resources at the very edge of their access networks, hence evolving their infrastructures into large, distributed, and capillary computing environments, capable of placing applications very close to users and terminals and well-suited to effectively fulfill the challenging ...
Carrega A., Repetto M., Gouvas P., Zafeiropoulos A.   +3 more
openaire   +2 more sources

UAV-Assisted Task Offloading in Vehicular Edge Computing Networks

IEEE Transactions on Mobile Computing
Vehicular 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, Zhu Xiao, Hongbo Jiang, John C.S. Lui   +3 more
semanticscholar   +1 more source

Coded Edge Computing

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020
Running intensive compute tasks across the fifth generation mobile network of edge devices introduces distributed computing challenges: edge devices are heterogeneous in the compute, storage, and communication capabilities; and can exhibit unpredictable straggler effects and failures.
Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang   +2 more
openaire   +1 more source