- A survey of federated learning for edge computing🔍
- Federated Learning for Edge Computing🔍
- Federated Learning in Edge Computing🔍
- [PDF] A survey of federated learning for edge computing🔍
- Role of federated learning in edge computing🔍
- Federated Learning🔍
- Survey on challenges of federated learning in edge computing ...🔍
- A survey on federated learning🔍
A survey of federated learning for edge computing
A survey of federated learning for edge computing - ScienceDirect.com
In this survey, we provide a new perspective on the applications, development tools, communication efficiency, security & privacy, migration and scheduling in ...
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
Federated learning is well suited for edge computing applications and can leverage the the computation power of edge servers and the data collected on widely ...
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] 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
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 ...
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 ...
Federated Learning: A Cutting-Edge Survey of the Latest ... - arXiv
[16] delineated a distinction between AI on the edge and AI for the edge so called intelligence-enabled edge computing. The former entails ...
Survey on challenges of federated learning in edge computing ...
More and more edge devices are linked with the network along with the digital transformation of society and the rapid development of the Internet of things.
A survey on federated learning: challenges and applications
... edge computing data [145]. On the other hand, with the ... federated learning for fault diagnosis in industrial cloud-edge computing.
Federated learning: A cutting-edge survey of the latest ...
When EC redistributes data and models to IoT devices, it introduces new security challenges. To address new security challenges in computing redistributes, the ...
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 ...
[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.
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, ...
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.
(PDF) 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, ...
Combining Federated Learning and Edge Computing Toward ...
From the FL in Edge perspective, we first identify the main challenges to FL in edge computing and then survey the representative technical strategies for ...
A survey of energy-efficient strategies for federated learning ...
To process these data efficiently, the innovative mobile edge computing (MEC) framework has emerged to guarantee low latency and enable ...
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 ...