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Edge-Cloud Collaborative Defense against Backdoor Attacks in Federated Learning

Edge-Cloud Collaborative Defense against Backdoor Attacks in Federated Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_77c72d582f43455e99467f5645dcec29

Edge-Cloud Collaborative Defense against Backdoor Attacks in Federated Learning

About this item

Full title

Edge-Cloud Collaborative Defense against Backdoor Attacks in Federated Learning

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1052

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Federated learning has a distributed collaborative training mode, widely used in IoT scenarios of edge computing intelligent services. However, federated learning is vulnerable to malicious attacks, mainly backdoor attacks. Once an edge node implements a backdoor attack, the embedded backdoor mode will rapidly expand to all relevant edge nodes, whi...

Alternative Titles

Full title

Edge-Cloud Collaborative Defense against Backdoor Attacks in Federated Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_77c72d582f43455e99467f5645dcec29

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_77c72d582f43455e99467f5645dcec29

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23031052

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