TDMiL: Tiny Distributed Machine Learning for Microcontroller-Based Interconnected Devices

Autor: Mayank Gulati, Koen Zandberg, Zhaolan Huang, Gerhard Wunder, Cedric Adjih, Emmanuel Baccelli

Publikováno v: IEEE Access, Vol 12, Pp 167810-167826 (2024)

More and more, edge devices embark Artificial Neuron Networks. In this context, a trend is to simultaneously decentralize their training as much as possible while shrinking their resource requirements, both for inference and training—tasks that are

Externí odkaz: https://doaj.org/article/0c5eb8aa2a974d9da19e1833b1c4fe7e

Femto-Containers: Lightweight Virtualization and Fault Isolation For Small Software Functions on Low-Power IoT Microcontrollers

Autor: Koen Zandberg, Emmanuel Baccelli, Shenghao Yuan, Frédéric Besson, Jean-Pierre Talpin

Publikováno v: Middleware 2022-23rd ACM/IFIP International Conference Middleware
Middleware 2022-23rd ACM/IFIP International Conference Middleware, Nov 2022, quebec, Canada. pp.1-12, ⟨10.1145/3528535.3565242⟩
Middleware 2022-23rd ACM/IFIP International Conference Middleware, Nov 2022, Quebec, Canada. pp.1-12, ⟨10.1145/3528535.3565242⟩

Low-power operating system runtimes used on IoT microcontrollers typically provide rudimentary APIs, basic connectivity and, sometimes, a (secure) firmware update mechanism. In contrast, on less constrained hardware, networked software has entered th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc760bd7f1a2b693a0aaaec9863fa0c
http://arxiv.org/abs/2210.03432

Quantum-Resistant Software Update Security on Low-Power Networked Embedded Devices

Autor: Gustavo Banegas, Koen Zandberg, Emmanuel Baccelli, Adrian Herrmann, Benjamin Smith

Publikováno v: Applied Cryptography and Network Security ISBN: 9783031092336
LNCS-Lecture Notes in Computer Science
ACNS 2022-International Conference on Applied Cryptography and Network Security
ACNS 2022-International Conference on Applied Cryptography and Network Security, Jun 2022, Rome, Italy. pp.872-891, ⟨10.1007/978-3-031-09234-3_43⟩

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc957fea9795597d6594b5472f20b9e1
https://doi.org/10.1007/978-3-031-09234-3_43

Secure Firmware Updates for Constrained IoT Devices Using Open Standards: A Reality Check

Autor: Emmanuel Baccelli, Francisco Acosta, Koen Zandberg, Kaspar Schleiser, Hannes Tschofenig

Publikováno v: IEEE Access
IEEE Access, IEEE, 2019, 7, pp.71907-71920. ⟨10.1109/ACCESS.2019.2919760⟩
IEEE Access, Vol 7, Pp 71907-71920 (2019)
IEEE Access, 2019, 7, pp.71907-71920. ⟨10.1109/ACCESS.2019.2919760⟩

International audience; While IoT deployments multiply in a wide variety of verticals, most IoT devices lack a built-in secure firmware update mechanism. Without such a mechanism, however, critical security vulnerabilities cannot be fixed, and IoT de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a51dc53ea7634bd9123a4dbed34aa465
https://hal.inria.fr/hal-02351794/file/HAL-version.pdf

Research from Institute of Computer Science Reveals New Findings on Machine Learning (TDMiL: Tiny Distributed Machine Learning for Microcontroller-Based Interconnected Devices).

Publikováno v: Blood Weekly; 12/5/2024, p528-528, 1p