Federated deep learning for edge computing (part I)

Federated deep learning for edge computing (part I)

With the increase in various usages of AI, comes new forms of training and deployment. One such advancement is coined as ‘federated learning’. Federated learning is an environment which consists of a central node that is connected through a network setting to multiple edge nodes to enable asynchr...

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Bibliographic Details
Main Author: See, Ian Soong En
Other Authors: Tan Rui
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computer systems organization::Computer system implementation
Online Access:https://hdl.handle.net/10356/138113

Internet

https://hdl.handle.net/10356/138113

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