Results 41 to 50 of about 5,254,563 (393)
Building microclouds at the network edge with the Cloudy platform [PDF]
, 2017 Edge computing enables new types of services which operate at the network edge. There are important use cases in pervasive computing, ambient intelligence and the Internet of Things (IoT) for edge computing.
Freitag, Fèlix +2 more
core +1 more source
Next-Generation SDN and Fog Computing: A New Paradigm for SDN-Based Edge Computing [PDF]
, 2020 In the last few years, we have been able to see how terms like Mobile Edge Computing, Cloudlets, and Fog computing have arisen as concepts that reach a level of popularity to express computing towards network Edge. Shifting some processing tasks from the
Aguado, Marina +3 more
core +1 more source
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
ACM Computing Surveys, 2022 Recent years have witnessed the widespread popularity of Internet of things (IoT). By providing sufficient data for model training and inference, IoT has promoted the development of artificial intelligence (AI) to a great extent.
H. Hua +5 more
semanticscholar +1 more source
A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications [PDF]
arXiv, 2021 Edge technology aims to bring Cloud resources (specifically, the compute, storage, and network) to the closed proximity of the Edge devices, i.e., smart devices where the data are produced and consumed. Embedding computing and application in Edge devices lead to emerging of two new concepts in Edge technology, namely, Edge computing and Edge analytics.
arxiv
The Cohen-Macaulay type of edge-weighted r-path ideals [PDF]
arXiv, 2023 We describe combinatorially the Cohen-Macaulay type of edge-weighted r-path suspensions of edge-weighted graphs for an arbitrary positive integer r. The computation of the Cohen-Macaulay type of edge-weighted suspensions of edge-weighted graphs becomes a special case of r = 1.
arxiv
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection [PDF]
, 2023 Learning-based edge detection usually suffers from predicting thick edges. Through extensive quantitative study with a new edge crispness measure, we find that noisy human-labeled edges are the main cause of thick predictions. Based on this observation, we advocate that more attention should be paid on label quality than on model design to achieve ...
arxiv +1 more source
Adaptive Federated Learning in Resource Constrained Edge Computing Systems [PDF]
IEEE Journal on Selected Areas in Communications, 2018 Emerging technologies and applications including Internet of Things, social networking, and crowd-sourcing generate large amounts of data at the network edge.
Shiqiang Wang +6 more
semanticscholar +1 more source
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
IEEE Internet of Things Journal, 2022 The latest 5G mobile networks have enabled many exciting Internet of Things (IoT) applications that employ unmanned aerial vehicles (UAVs/drones).
P. McEnroe +2 more
semanticscholar +1 more source
Computations on the Edge in the Internet of Things
Procedia Computer Science, 2015 AbstractIn the Internet of Things (IoT), many applications focus on gathering data which can then be processed and visualized. However, such computations are usually spread generically based on parameters such as CPU and/or network load. This may mean that a significant amount of data needs to be transported over the network (either directly, or ...
Moregård Haubenwaller, Andreas +1 more
openaire +3 more sources
Election and Local Computations on Edges [PDF]
, 2004 The point of departure and the motivation for this paper are the results of Angluin [1] which has introduced a tool to analyze the election algorithm: the coverings, Yamashita and Kameda [21] and Mazurkiewicz [15] which have obtained characterizations of graphs in which election is possible under two different models of distributed computations.
Chalopin, Jérémie, Métivier, Yves
openaire +4 more sources