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Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2364765794

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

About this item

Full title

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

Author / Creator

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-05

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Internet of Things (IoT) have widely penetrated in different aspects of modern life and many intelligent IoT services and applications are emerging. Recently, federated learning is proposed to train a globally shared model by exploiting a massive amount of user-generated data samples on IoT devices while preventing data leakage. However, the device...

Alternative Titles

Full title

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2364765794

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2364765794

Other Identifiers

E-ISSN

2331-8422

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