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| Link zu diesem Datensatz | https://d-nb.info/1331390842 |
| Titel | Distributed Machine Learning and Computing : Theory and Applications / edited by M. Hadi Amini |
| Person(en) | Amini, M. Hadi (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer International Publishing, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, X, 158 p. 29 illus., 28 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-57566-2 Printed edition:: ISBN: 978-3-031-57568-6 Printed edition:: ISBN: 978-3-031-57569-3 |
| Inhalt | Chapter 1. Distributed Machine Learning and Computing: An Overview -- Chapter 2. Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks -- Chapter 3. Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study -- Chapter 4. A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Health-care Systems -- Chapter 5. Vertical Federated Learning: Principles, Applications, and Future Frontiers -- Chapter 6. Decentralization of Energy Systems with Blockchain: Bridging Top-down and Bottom-up Management of the Electricity Grid.-Chapter 7. Empowering Distributed Solutions in Renewable Energy Systems and Grid Optimization |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2406010445016.588872982039 DOI: 10.1007/978-3-031-57567-9 |
| URL | https://doi.org/10.1007/978-3-031-57567-9 |
| ISBN/Einband/Preis | 978-3-031-57567-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Big and Integrated Artificial Intelligence ; 2 |
| Sachgruppe(n) | 620 Ingenieurwissenschaften und Maschinenbau |
| Online-Zugriff | Archivobjekt öffnen |
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