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Federated Learning Approach for Remote Sensing Scene Classification

Federated Learning Approach for Remote Sensing Scene Classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b735bb0c14ff4ad4923c03f481be8300

Federated Learning Approach for Remote Sensing Scene Classification

About this item

Full title

Federated Learning Approach for Remote Sensing Scene Classification

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (12), p.2194

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In classical machine learning algorithms, used in many analysis tasks, the data are centralized for training. That is, both the model and the data are housed within one device. Federated learning (FL), on the other hand, is a machine learning technique that breaks away from this traditional paradigm by allowing multiple devices to collaboratively t...

Alternative Titles

Full title

Federated Learning Approach for Remote Sensing Scene Classification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b735bb0c14ff4ad4923c03f481be8300

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b735bb0c14ff4ad4923c03f481be8300

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs16122194

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