Matches in SemOpenAlex for { <https://semopenalex.org/work/W3140169437> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W3140169437 abstract "Fault diagnosis can be used to identify the type and severity of fault accurately and automatically. If the data is transmitted to the cloud, it will increase the risk of data security and computing. Therefore, the demand for artificial intelligence operations on edge network devices is increasing day by day. Because federated learning mechanism does not need to transmit information data, it is more suitable for edge network machine learning scenarios with limited data. Therefore, this paper proposes a bearing fault diagnosis method based on Federated learning. In the model aggregation, according to the accuracy threshold adaptive algorithm, high-quality local models are selected to participate in the aggregation, so as to reduce the number of communication. The experimental results show that when the communication times are reduced to 77.6%, the accuracy is only reduced by 2.8%." @default.
- W3140169437 created "2021-04-13" @default.
- W3140169437 creator A5017222307 @default.
- W3140169437 creator A5022256556 @default.
- W3140169437 creator A5023222714 @default.
- W3140169437 creator A5026747993 @default.
- W3140169437 date "2021-03-26" @default.
- W3140169437 modified "2023-10-16" @default.
- W3140169437 title "An Adaptive Accuracy Threshold Aggregation Strategy Based on Federated Learning" @default.
- W3140169437 cites W2765452429 @default.
- W3140169437 cites W2947621394 @default.
- W3140169437 cites W2990922109 @default.
- W3140169437 cites W2998045710 @default.
- W3140169437 cites W3013730797 @default.
- W3140169437 cites W3025979551 @default.
- W3140169437 doi "https://doi.org/10.1109/icbaie52039.2021.9389820" @default.
- W3140169437 hasPublicationYear "2021" @default.
- W3140169437 type Work @default.
- W3140169437 sameAs 3140169437 @default.
- W3140169437 citedByCount "2" @default.
- W3140169437 countsByYear W31401694372022 @default.
- W3140169437 countsByYear W31401694372023 @default.
- W3140169437 crossrefType "proceedings-article" @default.
- W3140169437 hasAuthorship W3140169437A5017222307 @default.
- W3140169437 hasAuthorship W3140169437A5022256556 @default.
- W3140169437 hasAuthorship W3140169437A5023222714 @default.
- W3140169437 hasAuthorship W3140169437A5026747993 @default.
- W3140169437 hasConcept C111919701 @default.
- W3140169437 hasConcept C119857082 @default.
- W3140169437 hasConcept C120314980 @default.
- W3140169437 hasConcept C124101348 @default.
- W3140169437 hasConcept C125014702 @default.
- W3140169437 hasConcept C127313418 @default.
- W3140169437 hasConcept C138236772 @default.
- W3140169437 hasConcept C154945302 @default.
- W3140169437 hasConcept C162307627 @default.
- W3140169437 hasConcept C165205528 @default.
- W3140169437 hasConcept C175551986 @default.
- W3140169437 hasConcept C2778456923 @default.
- W3140169437 hasConcept C41008148 @default.
- W3140169437 hasConcept C79974875 @default.
- W3140169437 hasConceptScore W3140169437C111919701 @default.
- W3140169437 hasConceptScore W3140169437C119857082 @default.
- W3140169437 hasConceptScore W3140169437C120314980 @default.
- W3140169437 hasConceptScore W3140169437C124101348 @default.
- W3140169437 hasConceptScore W3140169437C125014702 @default.
- W3140169437 hasConceptScore W3140169437C127313418 @default.
- W3140169437 hasConceptScore W3140169437C138236772 @default.
- W3140169437 hasConceptScore W3140169437C154945302 @default.
- W3140169437 hasConceptScore W3140169437C162307627 @default.
- W3140169437 hasConceptScore W3140169437C165205528 @default.
- W3140169437 hasConceptScore W3140169437C175551986 @default.
- W3140169437 hasConceptScore W3140169437C2778456923 @default.
- W3140169437 hasConceptScore W3140169437C41008148 @default.
- W3140169437 hasConceptScore W3140169437C79974875 @default.
- W3140169437 hasLocation W31401694371 @default.
- W3140169437 hasOpenAccess W3140169437 @default.
- W3140169437 hasPrimaryLocation W31401694371 @default.
- W3140169437 hasRelatedWork W2534668683 @default.
- W3140169437 hasRelatedWork W2804912624 @default.
- W3140169437 hasRelatedWork W2942586735 @default.
- W3140169437 hasRelatedWork W2945616868 @default.
- W3140169437 hasRelatedWork W2966001425 @default.
- W3140169437 hasRelatedWork W3046945740 @default.
- W3140169437 hasRelatedWork W3211931762 @default.
- W3140169437 hasRelatedWork W4225757241 @default.
- W3140169437 hasRelatedWork W4226427977 @default.
- W3140169437 hasRelatedWork W4316660948 @default.
- W3140169437 isParatext "false" @default.
- W3140169437 isRetracted "false" @default.
- W3140169437 magId "3140169437" @default.
- W3140169437 workType "article" @default.