Matches in SemOpenAlex for { <https://semopenalex.org/work/W3020815071> ?p ?o ?g. }
Showing items 1 to 58 of
58
with 100 items per page.
- W3020815071 abstract "The emergence of fog computing has brought unprecedented opportunities to many fields, and it is now feasible to incorporate deep learning at the edge to facilitate the development of pervasive systems (e.g., autonomous driving and smart grids). In this paper, we present our preliminary research on a democratic learning scheme so that fog nodes could collaborate on the model training process even without the support of the cloud, which is urgently needed in the pervasive computing context. The main objective of this work is to utilize the deployed fog nodes to train a well-performed deep learning model together, even with the limited local data from each participant. Instead of relying on the cloud by default, we design a voting strategy so that a fog node could be elected as the coordinator based on both distance and computational power metrics to help expedite the training process. We then experiment the effectiveness of the scheme through a real-world, in-door fog deployment and verify the performance of the trained model through a human moving trajectory tracking use case." @default.
- W3020815071 created "2020-05-13" @default.
- W3020815071 creator A5019778525 @default.
- W3020815071 creator A5020793859 @default.
- W3020815071 creator A5080328538 @default.
- W3020815071 creator A5081182489 @default.
- W3020815071 date "2020-03-01" @default.
- W3020815071 modified "2023-10-14" @default.
- W3020815071 title "A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments" @default.
- W3020815071 cites W1558178046 @default.
- W3020815071 cites W1893431417 @default.
- W3020815071 cites W2424778531 @default.
- W3020815071 cites W2562522049 @default.
- W3020815071 cites W2889885925 @default.
- W3020815071 cites W2923723514 @default.
- W3020815071 cites W3104330751 @default.
- W3020815071 doi "https://doi.org/10.1109/percomworkshops48775.2020.9156153" @default.
- W3020815071 hasPublicationYear "2020" @default.
- W3020815071 type Work @default.
- W3020815071 sameAs 3020815071 @default.
- W3020815071 citedByCount "6" @default.
- W3020815071 countsByYear W30208150712020 @default.
- W3020815071 countsByYear W30208150712021 @default.
- W3020815071 countsByYear W30208150712022 @default.
- W3020815071 crossrefType "proceedings-article" @default.
- W3020815071 hasAuthorship W3020815071A5019778525 @default.
- W3020815071 hasAuthorship W3020815071A5020793859 @default.
- W3020815071 hasAuthorship W3020815071A5080328538 @default.
- W3020815071 hasAuthorship W3020815071A5081182489 @default.
- W3020815071 hasConcept C107457646 @default.
- W3020815071 hasConcept C134306372 @default.
- W3020815071 hasConcept C172195944 @default.
- W3020815071 hasConcept C33923547 @default.
- W3020815071 hasConcept C41008148 @default.
- W3020815071 hasConcept C77618280 @default.
- W3020815071 hasConceptScore W3020815071C107457646 @default.
- W3020815071 hasConceptScore W3020815071C134306372 @default.
- W3020815071 hasConceptScore W3020815071C172195944 @default.
- W3020815071 hasConceptScore W3020815071C33923547 @default.
- W3020815071 hasConceptScore W3020815071C41008148 @default.
- W3020815071 hasConceptScore W3020815071C77618280 @default.
- W3020815071 hasLocation W30208150711 @default.
- W3020815071 hasOpenAccess W3020815071 @default.
- W3020815071 hasPrimaryLocation W30208150711 @default.
- W3020815071 hasRelatedWork W1521353230 @default.
- W3020815071 hasRelatedWork W1596397513 @default.
- W3020815071 hasRelatedWork W1866821030 @default.
- W3020815071 hasRelatedWork W2347466614 @default.
- W3020815071 hasRelatedWork W2361445870 @default.
- W3020815071 hasRelatedWork W2373250155 @default.
- W3020815071 hasRelatedWork W2377453892 @default.
- W3020815071 hasRelatedWork W2380613331 @default.
- W3020815071 hasRelatedWork W2386200114 @default.
- W3020815071 hasRelatedWork W807330763 @default.
- W3020815071 isParatext "false" @default.
- W3020815071 isRetracted "false" @default.
- W3020815071 magId "3020815071" @default.
- W3020815071 workType "article" @default.