Cargando…
Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis
The rapid development of Internet of Things (IoT) systems has led to the problem of managing and analyzing the large volumes of data that they generate. Traditional approaches that involve collection of data from IoT devices into one centralized repository for further analysis are not always applica...
Autores principales: | Kholod, Ivan, Yanaki, Evgeny, Fomichev, Dmitry, Shalugin, Evgeniy, Novikova, Evgenia, Filippov, Evgeny, Nordlund, Mats |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794892/ https://www.ncbi.nlm.nih.gov/pubmed/33383803 http://dx.doi.org/10.3390/s21010167 |
Ejemplares similares
-
Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition
por: Novikova, Evgenia, et al.
Publicado: (2022) -
A Multi-Protocol IoT Platform Based on Open-Source Frameworks
por: Akasiadis, Charilaos, et al.
Publicado: (2019) -
Privacy Policies of IoT Devices: Collection and Analysis
por: Kuznetsov, Mikhail, et al.
Publicado: (2022) -
Sazgar IoT: A Device-Centric IoT Framework and Approximation Technique for Efficient and Scalable IoT Data Processing
por: Yavari, Ali, et al.
Publicado: (2023) -
Thinger.io: An Open Source Platform for Deploying Data Fusion Applications in IoT Environments
por: Luis Bustamante, Alvaro, et al.
Publicado: (2019)