Federated learning in cloud-edge collaborative architecture: key technologies, applications and challenges

Federated learning in cloud-edge collaborative architecture: key technologies, applications and challenges

Abstract In recent years, with the rapid growth of edge data, the novel cloud-edge collaborative architecture has been proposed to compensate for the lack of data processing power of traditional cloud computing. On the other hand, on account of the increasing demand of the public for data privacy, f...

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Bibliographic Details
Main Authors: Guanming Bao, Ping Guo
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Federated learning
Cloud-edge collaborative computing
Online Access:https://doi.org/10.1186/s13677-022-00377-4

Internet

https://doi.org/10.1186/s13677-022-00377-4

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