Tiny machine learning : design principles and applications /
An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and development In Tiny Machine Learning: Design Principles and Applications, a team of distinguished researchers delivers a comprehensive discussion of the critical concepts, d...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
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Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2026]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Chapter 1 Introduction to TinyML
- Francisca Onyiyechi Nwokoma, Chidi Ukamaka Betrand, Juliet Nnenna Odii, Euphemia Chioma Nwokorie, and Euphemia Chioma Nwokorie
- Chapter 2 Learning Panorama Under TinyML
- Ikechukwu Ignatius Ayogu, Euphemia Chioma Nwokorie, Juliet Nnenna Odii, Francisca Onyiyechi Nwokoma, and Chidi Ukamaka Betrand
- Chapter 3 TinyML for Anomaly Detection
- Richard Govada Joshua, Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, and Samuel Oluwatobi Tofade
- Chapter 4 TinyML Power Consumption and Memory in IoT MCUs
- Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, Richard Govada Joshua, and Samuel Oluwatobi Tofade
- Chapter 5 Efficient Data Cleaning and Anomaly Detection in IoT Devices Using TinyCleanEDF
- Ilker Kara
- Chapter 6 TinyML devices and tools
- Abeeb Akorede Bello, Agbotiname Lucky Imoize, and Agbotiname Lucky Imoize
- Chapter 7 Privacy-Preserving Techniques in TinyML for IoT
- Oleksandr Kuznetsov, Emanuele Frontoni, Kateryna Kuznetsova, Marco Arnesano, and Pavlo Usik
- Chapter 8 Enhancing Cybersecurity in TinyML with Lightweight Cryptographic Algorithms
- Oleksandr Kuznetsov, Roman Minailenko, and Aigul Shaikhanova
- Chapter 9 Tiny Machine Learning for Enhanced Edge Intelligence
- Emmanuel Alozie, Agbotiname Lucky Imoize, Hawau I. Olagunju, Nasir Faruk, Salisu Garba, and Ayobami P. Olatunji.