ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network
Federated Learning (FL) has emerged as a transformative artificial intelligence paradigm, facilitating knowledge sharing among distributed edge devices while upholding data privacy. However, dynamic networks and resource-constrained devices such as drones, face challenges like power outages and netw...
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| Published in: | International journal of machine learning and cybernetics Vol. 15; no. 11; pp. 5303 - 5319 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.11.2024
Springer Nature B.V |
| Subjects: | |
| ISSN: | 1868-8071, 1868-808X |
| Online Access: | Get full text |
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