|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910987992403321 |
|
|
Autore |
Marchisio Alberto |
|
|
Titolo |
Energy Efficiency and Robustness of Advanced Machine Learning Architectures : A Cross-Layer Approach |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Milton : , : CRC Press LLC, , 2024 |
|
©2025 |
|
|
|
|
|
|
|
|
|
ISBN |
|
9781040165034 |
1040165036 |
9781003530459 |
1003530451 |
9781040165065 |
1040165060 |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (361 pages) |
|
|
|
|
|
|
Collana |
|
Chapman and Hall/CRC Artificial Intelligence and Robotics Series |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Deep learning (Machine learning) |
Neural networks (Computer science) |
Robust optimization |
Computer network architectures |
Computer networks - Energy consumption |
Computer networks - Security measures |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
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. |
|
|
|
|
|
|
|