Tiny Machine Learning - Agbotiname Lucky Imoize

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Résumé :

About the Editors xxiii

List of Contributors xxvii

Preface xxxv

1 Introduction to TinyML 1
Francisca Onyiyechi Nwokoma, Chidi Ukamaka Betrand, Juliet Nnenna Odii, Euphemia Chioma Nwokorie, and Ikechukwu Ignatius Ayogu

1.1 Introduction 1

1.2 Evolution of TinyML 6

1.3 Key Milestones and Current Trends 8

1.4 TinyML System Development 11

1.5 Challenges and Bottlenecks 17

1.6 Cost-Benefit Analysis 20

1.7 Key Findings 26

1.8 Limitations of TinyML 27

1.9 Conclusion 29

References 30

2 Learning Panorama Under TinyML 35
Ikechukwu Ignatius Ayogu, Euphemia Chioma Nwokorie, Juliet Nnenna Odii, Francisca Onyiyechi Nwokoma, and Chidi Ukamaka Betrand

2.1 Introduction 35

2.2 Challenges and Opportunities for Improved TinyML Model Design 37

2.3 Frontiers in Model Optimization for TinyML 47

2.4 Learning Frameworks and Tools for TinyML Development 59

2.5 Frontiers for Algorithmic Innovations for TinyML 63

2.6 TinyML Development Process 68

2.7 Key Findings 69

2.8 Conclusion 70

References 71

3 TinyML for Anomaly Detection 85
Richard Govada Joshua, Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, and Samuel Oluwatobi Tofade

3.1 Introduction 85

3.2 Context and Literature Review 93

3.3 Lessons Learned 149

3.4 Future Scope 152

3.5 Conclusion 156

References 157

4 TinyML Power Consumption and Memory in IoT MCUs 163
Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, Richard Govada Joshua, and Samuel Oluwatobi Tofade

4.1 Introduction 163

4.2 Context and Literature Review 171

4.3 Methodology 174

4.4 Results and Discussion: Bibliometric Analysis 184

4.5 Conclusion and Future Directions 198

References 199

5 Efficient Data Cleaning and Anomaly Detection in IoT Devices Using TinyCleanEDF 205
Ilker Kara

5.1 Introduction 205

5.2 IoT and TinyCleanEDF 206

5.3 The Importance of Data Cleaning in IoT Systems 207

5.4 Anomaly Detection and Its Importance in IoT Systems 208

5.5 Data Preprocessing and Cleaning Workflow 209

5.6 Implementation Details 213

5.7 Case Studies and Applications 216

5.8 Future Directions 219

5.9 Conclusion and Future Scope 221

References 222

6 TinyML Devices and Tools 225
Abeeb Akorede Bello, Agbotiname Lucky Imoize, and Abiodun Temitope Odewale

6.1 Introduction 225

6.2 Related Work 227

6.3 TinyML Devices 234

6.4 TinyML Tools 237

6.5 Deployment Procedure of TinyML 241

6.6 Lesson Learned and Prospects 250

6.7 Conclusion 253

References 254

7 Privacy-Preserving Techniques in TinyML for IoT 259
Oleksandr Kuznetsov, Emanuele Frontoni, Kateryna Kuznetsova, Marco Arnesano, and Pavlo Usik

7.1 Introduction 259

7.2 Related Works 261

7.3 Homomorphic Encryption in TinyML 262

7.4 Differential Privacy for TinyML 271

7.5 Secure Multi-Party Computation in TinyML 277

7.6 Case Studies and Applications of Privacy-Preserving TinyML 281

7.7 Discussion and Future Directions 293

7.8 Conclusion 296

Acknowledgment 296

References 296

8 Enhancing Cybersecurity in TinyML with Lightweight Cryptographic Algorithms 303
Oleksandr Kuznetsov, Roman Minailenko, Aigul Shaikhanova, Yelyzaveta Kuznetsova, and Agbotiname Lucky Imoize

8.1 Introduction 303

8.2 Literature Review 305

8.3 Lightweight Cryptographic Algorithms for TinyML 306

...

Biographie:

Agbotiname Imoize is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. He is a Fulbright Fellow, the Vice Chair of the IEEE Communication Society Nigeria chapter, and a Senior Member of IEEE.

Dinh-Thuan Do, PhD, is an Assistant Professor with the School of Engineering at the University of Mount Union, USA. He is an editor of IEEE Transactions on Vehicular Technology and Computer Communications. He is a Senior Member of IEEE.

Houbing Herbert Song, PhD, IEEE Fellow, is a Professor in the Department of Information Systems, and the Department of Computer Science and Electrical Engineering and Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab) at the University of Maryland, Baltimore County. He is also Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics....

Sommaire:

About the Editors xxiii
List of Contributors xxvii
Preface xxxv

1 Introduction to TinyML 1
Francisca Onyiyechi Nwokoma, Chidi Ukamaka Betrand, Juliet Nnenna Odii, Euphemia Chioma Nwokorie, and Ikechukwu Ignatius Ayogu

2 Learning Panorama Under TinyML 35
Ikechukwu Ignatius Ayogu, Euphemia Chioma Nwokorie, Juliet Nnenna Odii, Francisca Onyiyechi Nwokoma, and Chidi Ukamaka Betrand

3 TinyML for Anomaly Detection 85
Richard Govada Joshua, Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, and Samuel Oluwatobi Tofade

4 TinyML Power Consumption and Memory in IoT MCUs 163
Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, Richard Govada Joshua, and Samuel Oluwatobi Tofade

5 Efficient Data Cleaning and Anomaly Detection in IoT Devices Using TinyCleanEDF 205
Ilker Kara

6 TinyML Devices and Tools 225
Abeeb Akorede Bello, Agbotiname Lucky Imoize, and Abiodun Temitope Odewale

7 Privacy-Preserving Techniques in TinyML for IoT 259
Oleksandr Kuznetsov, Emanuele Frontoni, Kateryna Kuznetsova, Marco Arnesano, and Pavlo Usik

8 Enhancing Cybersecurity in TinyML with Lightweight Cryptographic Algorithms 303
Oleksandr Kuznetsov, Roman Minailenko, Aigul Shaikhanova, Yelyzaveta Kuznetsova, and Agbotiname Lucky Imoize

9 Tiny Machine Learning for Enhanced Edge Intelligence 335
Emmanuel Alozie, Agbotiname Lucky Imoize, Hawau I. Olagunju, Nasir Faruk, Salisu Garba, and Ayobami P. Olatunji

10 Advanced Security Schemes for TinyML Devices 367
Wasswa Shafik and Mumin Adam

11 Robust Ground Truth Data Mining for Enhanced Privacy and Accuracy in Noisy TinyML Environments 403
Yuichi Sei and Agbotiname Lucky Imoize

12 Security and Privacy of TinyML Devices 431
Eftychia Mistillioglou, Evangelia Konstantopoulou, Nicolas Sklavos, and Andronikos Kyriakou

13 Semantic Management of TinyML for Industrial Application 469
Kinzah Noor, Hasnain Ahmad, and Agbotiname Lucky Imoize

14 Fight Poison with Poison: Tiny Machine Learning Resilience Against Poisoning Attacks 503
Tomoki Chiba, Yasuyuki Tahara, Akihiko Ohsuga, Agbotiname Lucky Imoize, and Yuichi Sei

15 TinyML for Real-Time Medical Image Classification and Diagnosis 549
Jelil O. Agbo-Ajala, Lateef A. Akinyemi, Olufisayo S. Ekundayo, and Ernest Mnkandla

16 Biometric Authentication in TinyML: Opportunities and Challenges 587
Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Oleksii Smirnov, and Boris Khruskov

17 Secure Deployment of TinyML Applications: Strategies and Practices 635
Oleksandr Kuznetsov, Sergii Kavun, and Gulvira Bekeshova

18 TinyML for Environmental Applications 665
Duy Nam Khanh Vu and Anh Khoa Dang

19 Benchmarking TinyML Encrypted Federated Learning with Secret Sharing in Medical Computer Vision 701
Ruduan B.F. Plug, Putu H.P. Jati, Samson Y. Amare, and Mirjamvan Reisen

References 716
Index 721