Federated learning for IoT devices: Enhancing TinyML with on-board training

Author:

Ficco M.,Guerriero A.,Milite E.,Palmieri F.ORCID,Pietrantuono R.,Russo S.

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference27 articles.

1. Number of IoT connected devices worldwide 2019–2021, with forecasts to 2030;Vailshery,2022

2. Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions;Ahmed;Inf. Fusion,2024

3. TinyML-enabled frugal smart objects: Challenges and opportunities;Sanchez-Iborra;IEEE Circuits Syst. Mag.,2020

4. A review on TinyML: State-of-the-art and prospects;Ray;J. King Saud Univ. - Comput. Inf. Sci.,2022

5. A survey on federated learning systems: Vision, hype and reality for data privacy and protection;Li;IEEE Trans. Knowl. Data Eng.,2023

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