[PDF] A survey of federated learning for edge computing

A survey of federated learning for edge computing

It can provide better data privacy be- cause training data are not transmitted to a central server. Federated learning is well suited for edge computing.

Federated Learning for Edge Computing: A Survey - MDPI

New technologies bring opportunities to deploy AI and machine learning to the edge of the network, allowing edge devices to train simple models that can ...

A survey of federated learning for edge computing - ScienceDirect.com

Therefore, edge federated learning is more and more appealing in both academic research and industry in recent days. Here, we first have a brief introduction to ...

[PDF] A survey of federated learning for edge computing: Research ...

Semantic Scholar extracted view of "A survey of federated learning for edge computing: Research problems and solutions" by Qi Xia et al.

Role of federated learning in edge computing: A survey

PDF | p>This paper explores various approaches to enhance federated learning (FL) through the utilization of edge computing.

Federated Learning for Edge Computing: A Survey - Semantic Scholar

An overview of the methods used in Federated learning is provided with a focus on edge devices with limited computational resources and frameworks that are ...

[2302.02573] Topology-aware Federated Learning in Edge Computing

In this paper, we conduct a comprehensive survey of the existing FL works focusing on network topologies.

Federated Learning in Edge Computing: A Systematic Survey - MDPI

Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a ...

(PDF) Edge Computing Based on Federated Learning for Machine ...

Content may be subject to copyright. ResearchGate Logo. Discover the world's research. 25+ million members; 160+ million publication pages ...

Federated Learning: A Cutting-Edge Survey of the Latest ... - arXiv

To address these challenges, the authors in. [33] proposed joint mechanisms for computing power adjust- ment, wireless resource allocation, link ...

Federated learning in mobile edge networks : a comprehensive survey

To this end, Mobile Edge Computing (MEC) has been proposed to bring intelligence closer to the edge, where data is produced. However, conventional enabling ...

A survey on federated learning: challenges and applications

On the road of AI development, models, computing power, chip performance, and other technical issues have been the focus of academic research, ...

Coded Federated Learning for Communication-Efficient Edge ...

This survey explores the application of coding techniques in DML and coded edge computing in the distributed system to enhance system speed, robustness, ...

Topology-aware Federated Learning in Edge Computing

In this paper, we conduct a comprehensive survey of the existing FL works focusing on network topologies. After a brief overview of FL and edge computing ...

Experimental Evaluation and Analysis of Federated Learning in ...

This study aims to fill this research gap by conducting experimental evaluations and detailed analyses of FL in edge computing environments.

Federated Learning for Edge Computing: A Survey. - EBSCOhost

Title: Federated Learning for Edge Computing: A Survey. Language: English; Authors: Brecko, Alexander1 ( ...

A Survey on Federated Learning for Resource-Constrained IoT ...

Another exciting paper [11] discussed FL from the perspective of mobile edge computing (MEC), including caching and communication mechanism at the edge, while a.

Federated learning in cloud-edge collaborative architecture

There are much research aimed at discussing federated learning in edge computing environment [19, 23], however they emphasized EC-enabled ...

Federated Learning in Edge Computing: A Systematic Survey

Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning ...

Survey on Challenges of Federated Learning in Edge Computing ...

Edge computing based on federated learning will greatly improve users' privacy security and achieve a smarter IoT. With the continuous development of digital ...