Combined federated and split learning in edge computing for ubiquitous intelligence in internet of things: State-of-the-art and future directions

Q Duan, S Hu, R Deng, Z Lu - Sensors, 2022 - mdpi.com
… capabilities on devices distributed at the network edge, offers a … Edge computing may facilitate
ubiquitous intelligence in IoT by … , achieving ubiquitous intelligence in an edge computing-…

Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks

KP Seng, LM Ang… - … Journal of Distributed …, 2022 - journals.sagepub.com
… for resource-efficient edge computing in AIoT termed as ThriftyEdge. In this work, they
proposed a device-centric approach and a resource-efficient edge computing scheme to minimize …

In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning

X Wang, Y Han, C Wang, Q Zhao, X Chen… - Ieee …, 2019 - ieeexplore.ieee.org
… framework with mobile edge systems, for optimizing mobile edge computing, caching and …
-Edge AI” framework in order to intelligently utilize the collaboration among devices and edge

A scalable distributed machine learning approach for attack detection in edge computing environments

R Kozik, M Choraś, M Ficco, F Palmieri - … and Distributed Computing, 2018 - Elsevier
… the processing intelligence near to the data sources. These edge devices are mainly … to
the cloud in order to benefit of edge computing capabilities only for effectively performing traffic …

Edge computing framework for distributed smart applications

K Liu, A Gurudutt, T Kamaal, C Divakara… - … Intelligence & …, 2017 - ieeexplore.ieee.org
… time of our service layers in our edge computing framework. We developed the service layer
… different vendors to create a common edge computing platform for multi-tenent applications. …

Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions

Q Duan, J Huang, S Hu, R Deng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
… From the Edge for FL perspective, we first analyze the key requirements for edge computing
to support FL and then review the recent advances in edge computing technologies that …

Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing

Z Zeng, C Chen, B Veeravalli, K Li, JT Zhou - Neurocomputing, 2022 - Elsevier
… The objectives of the Special Issue were reached in terms of collecting and disseminating
latest discoveries, researches and results on intelligent edge computing. Most of the proposed …

Network for Distributed Intelligence: A Survey and Future Perspectives

C Campolo, A Iera, A Molinaro - IEEE Access, 2023 - ieeexplore.ieee.org
… Initially proposed for data centers with multiple workers, the same approach has been
recently borrowed in the edge computing domain, where several nodes can enforce the …

An artificial intelligence perspective on mobile edge computing

Z Chen, Q He, L Liu, D Lan… - … Conference on Smart …, 2019 - ieeexplore.ieee.org
… concept of green edge intelligence. We believe that green edge intelligence would be a new
paradigm of MEC. AI is playing a more important role in the mobile edge computing. In this …

UAV-assisted vehicular edge computing for the 6G internet of vehicles: Architecture, intelligence, and challenges

J Hu, C Chen, L Cai, MR Khosravi… - IEEE Communications …, 2021 - ieeexplore.ieee.org
… , the 6G V2X networks supporting vehicular edge computing (VEC) need to be more
flexible, smart, and adaptive. In this article, an intelligent unmanned aerial vehicle (UAV)-assisted …