Adaptive Spatio-Temporal Federated Learning for Traffic Flow Prediction: Framework and Aggregation Approaches Evaluation.
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| Title: | Adaptive Spatio-Temporal Federated Learning for Traffic Flow Prediction: Framework and Aggregation Approaches Evaluation. |
|---|---|
| Authors: | Alsehaimi, Basma1,2, balsehaimi0001@stu.kau.edu.sa, Alzamzami, Ohoud1,2, Alowidi, Nahed1, Ali, Manar1,2 |
| Source: | Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2402, 31p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16052402 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 2402 Titles: – TitleFull: Adaptive Spatio-Temporal Federated Learning for Traffic Flow Prediction: Framework and Aggregation Approaches Evaluation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alsehaimi, Basma – PersonEntity: Name: NameFull: Alzamzami, Ohoud – PersonEntity: Name: NameFull: Alowidi, Nahed – PersonEntity: Name: NameFull: Ali, Manar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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