Tiny Machine Learning: Design Principles and Applications

Agbotiname Lucky 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.

• About the Editors xxiiiList of Contributors xxviiPreface xxxv1 Introduction to TinyML 1Francisca Onyiyechi Nwokoma, Chidi Ukamaka Betrand, Juliet Nnenna Odii, Euphemia Chioma Nwokorie, and Ikechukwu Ignatius Ayogu2 Learning Panorama Under TinyML 35Ikechukwu Ignatius Ayogu, Euphemia Chioma Nwokorie, Juliet Nnenna Odii, Francisca Onyiyechi Nwokoma, and Chidi Ukamaka Betrand3 TinyML for Anomaly Detection 85Richard Govada Joshua, Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, and Samuel Oluwatobi Tofade4 TinyML Power Consumption and Memory in IoT MCUs 163Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, Richard Govada Joshua, and Samuel Oluwatobi Tofade5 Efficient Data Cleaning and Anomaly Detection in IoT Devices Using TinyCleanEDF 205Ilker Kara6 TinyML Devices and Tools 225Abeeb Akorede Bello, Agbotiname Lucky Imoize, and Abiodun Temitope Odewale7 Privacy-Preserving Techniques in TinyML for IoT 259Oleksandr Kuznetsov, Emanuele Frontoni, Kateryna Kuznetsova, Marco Arnesano, and Pavlo Usik8 Enhancing Cybersecurity in TinyML with Lightweight Cryptographic Algorithms 303Oleksandr Kuznetsov, Roman Minailenko, Aigul Shaikhanova, Yelyzaveta Kuznetsova, and Agbotiname Lucky Imoize9 Tiny Machine Learning for Enhanced Edge Intelligence 335Emmanuel Alozie, Agbotiname Lucky Imoize, Hawau I. Olagunju, Nasir Faruk, Salisu Garba, and Ayobami P. Olatunji10 Advanced Security Schemes for TinyML Devices 367Wasswa Shafik and Mumin Adam11 Robust Ground Truth Data Mining for Enhanced Privacy and Accuracy in Noisy TinyML Environments 403Yuichi Sei and Agbotiname Lucky Imoize12 Security and Privacy of TinyML Devices 431Eftychia Mistillioglou, Evangelia Konstantopoulou, Nicolas Sklavos, and Andronikos Kyriakou13 Semantic Management of TinyML for Industrial Application 469Kinzah Noor, Hasnain Ahmad, and Agbotiname Lucky Imoize14 Fight Poison with Poison: Tiny Machine Learning Resilience Against Poisoning Attacks 503Tomoki Chiba, Yasuyuki Tahara, Akihiko Ohsuga, Agbotiname Lucky Imoize, and Yuichi Sei15 TinyML for Real-Time Medical Image Classification and Diagnosis 549Jelil O. Agbo-Ajala, Lateef A. Akinyemi, Olufisayo S. Ekundayo, and Ernest Mnkandla16 Biometric Authentication in TinyML: Opportunities and Challenges 587Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Oleksii Smirnov, and Boris Khruskov17 Secure Deployment of TinyML Applications: Strategies and Practices 635Oleksandr Kuznetsov, Sergii Kavun, and Gulvira Bekeshova18 TinyML for Environmental Applications 665Duy Nam Khanh Vu and Anh Khoa Dang19 Benchmarking TinyML Encrypted Federated Learning with Secret Sharing in Medical Computer Vision 701Ruduan B.F. Plug, Putu H.P. Jati, Samson Y. Amare, and Mirjamvan ReisenReferences 716Index 721