DAG-Based Blockchain Sharding for Secure Federated Learning with Non-IID Data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jungjae | - |
dc.contributor.author | Kim, Wooseong | - |
dc.date.accessioned | 2022-12-14T03:40:05Z | - |
dc.date.available | 2022-12-14T03:40:05Z | - |
dc.date.created | 2022-12-14 | - |
dc.date.issued | 2022-11 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/86263 | - |
dc.description.abstract | Federated learning is a type of privacy-preserving, collaborative machine learning. Instead of sharing raw data, the federated learning process cooperatively exchanges the model parameters and aggregates them in a decentralized manner through multiple users. In this study, we designed and implemented a hierarchical blockchain system using a public blockchain for a federated learning process without a trusted curator. This prevents model-poisoning attacks and provides secure updates of a global model. We conducted a comprehensive empirical study to characterize the performance of federated learning in our testbed and identify potential performance bottlenecks, thereby gaining a better understanding of the system. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.relation.isPartOf | SENSORS | - |
dc.title | DAG-Based Blockchain Sharding for Secure Federated Learning with Non-IID Data | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000881389100001 | - |
dc.identifier.doi | 10.3390/s22218263 | - |
dc.identifier.bibliographicCitation | SENSORS, v.22, no.21 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85141584856 | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 22 | - |
dc.citation.number | 21 | - |
dc.contributor.affiliatedAuthor | Lee, Jungjae | - |
dc.contributor.affiliatedAuthor | Kim, Wooseong | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | blockchain | - |
dc.subject.keywordAuthor | federated learning | - |
dc.subject.keywordAuthor | smart contract | - |
dc.subject.keywordAuthor | model-poisoning attack | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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