Energy Efficiency and Robustness of Advanced Machine Learning Architectures : A Cross-Layer Approach
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| Autore: |
Marchisio Alberto
|
| Titolo: |
Energy Efficiency and Robustness of Advanced Machine Learning Architectures : A Cross-Layer Approach
|
| Pubblicazione: | Milton : , : CRC Press LLC, , 2024 |
| ©2025 | |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (361 pages) |
| Disciplina: | 006.3/1 |
| Soggetto topico: | Deep learning (Machine learning) |
| Neural networks (Computer science) | |
| Robust optimization | |
| Computer network architectures | |
| Computer networks - Energy consumption | |
| Computer networks - Security measures | |
| Altri autori: |
ShafiqueMuhammad
|
| Nota di contenuto: | Hardware and software optimizations for capsule networks -- Adversarial security threats for DNNs and CapsNets -- Inetration and of multiple and design objectives into NAS frameworks for CapsNets and DNNs -- Efficient optimizations for spiking neural networks on neuromorphic hardware -- Security threats for SNNs on discrete and event-based data. |
| Sommario/riassunto: | This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. |
| Titolo autorizzato: | Energy Efficiency and Robustness of Advanced Machine Learning Architectures |
| ISBN: | 9781040165034 |
| 1040165036 | |
| 9781003530459 | |
| 1003530451 | |
| 9781040165065 | |
| 1040165060 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910987992403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Chapman and Hall/CRC Artificial Intelligence and Robotics Series