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Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin...

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fc5e469f559b4242ae9d5fb266181c89

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT

About this item

Full title

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7793

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The Industrial Internet of Things (IIoT) has led to the growth and expansion of various new opportunities in the new Industrial Transformation. There have been notable challenges regarding the security of data and challenges related to privacy when collecting real-time and automatic data while observing applications in the industry. This paper prop...

Alternative Titles

Full title

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fc5e469f559b4242ae9d5fb266181c89

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fc5e469f559b4242ae9d5fb266181c89

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21237793

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