Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey [PDF]
ACM Computing Surveys, 2023 The ultra-low latency requirements of 5G/6G applications and privacy constraints call for distributed machine learning systems to be deployed at the edge.
Jiajun Wu +5 more
semanticscholar +1 more source
Cross‐organisational data sharing framework based on blockchain‐probes
IET Networks, 2023 With the development of information technology, various social fields have gradually realised informatisation and digitisation, and today's society has entered the era of big data. A large amount of data exists in different departments and systems.
Xiaofeng Jia +8 more
doaj +1 more source
Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm
Sensors, 2021 In edge computing, edge devices can offload their overloaded computing tasks to an edge server. This can give full play to an edge server’s advantages in computing and storage, and efficiently execute computing tasks.
Shichao Chen +3 more
doaj +1 more source
Short-term prediction of wind power generation based on VMD-GSWOA-LSTM model
AIP Advances, 2023 To improve the short-term wind power output prediction accuracy and overcome the model prediction instability problem, we propose a combined prediction model based on variational modal decomposition (VMD) combined with the improved whale algorithm (GSWOA)
Tongguang Yang +4 more
doaj +1 more source
Systematic Review on Security and Privacy Requirements in Edge Computing: State of the Art and Future Research Opportunities [PDF]
, 2020 Edge computing is a promising paradigm that enhances the capabilities of cloud computing. In order to continue patronizing the computing services, it is essential to conserve a good atmosphere free from all kinds of security and privacy breaches.
Ho, Anthony T. S. +6 more
core +2 more sources
Decentralizing Computation with Edge Computing
Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet, 2021 Edge computing promises to bring computation close to the end-users to support emergent applications such as virtual reality. However, the computational capacity at the edge of the network is currently limited. To become a pervasive paradigm, edge computing needs highly dispersed decentralized deployments, that, contrary to cloud, cannot benefit from ...
Zavodovski, Aleksandr +7 more
openaire +3 more sources
Cloud and Edge Computing [PDF]
IEEE Communications Standards Magazine, 2017 This issue of the Series presents two articles in the area of cloud and edge computing. The first article is an exemplary of the IoT ecosystem that receives momentum for use in smart cities, public safety, and e-health. Fabio Giust et al. present a multi-access edge computing (MEC) architectural solution that allows for seamlessly integrating existing ...
Mir, Nader, Loreto, Salvatore
openaire +3 more sources
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2022 To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning.
Wei Xu +5 more
semanticscholar +1 more source
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing [PDF]
Proceedings of the IEEE, 2019 With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications and services, spanning from personal assistant to recommendation systems to video/audio surveillance.
Zhi Zhou +5 more
semanticscholar +1 more source
Edge-Oriented Computing: A Survey on Research and Use Cases
Energies, 2022 Edge computing is a distributed computing paradigm such that client data are processed at the periphery of the network, as close as possible to the originating source.
Nour Alhuda Sulieman +4 more
doaj +1 more source