Issue |
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
|
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Article Number | 00055 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202447700055 | |
Published online | 16 January 2024 |
A survey of federated learning approach for the Sustainable Development aspect: eLearning
Department of Computer Science, Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco.
Throughout the years, sustainable development has been the concern of many governments. The United Nations have launched the agenda for sustainable development, containing 17 goals. Achieving it, is considered to be a challenging task as it requires balancing different aspects, the economic, social and ecological ones. One of the most important aspects of sustainable development is eLearning. It is green and does not require students to move to classes or waste energy. It has been widespread globally, especially after the pandemic. Artificial intelligence solutions have been used to implement eLearning; however, they still have some shortcoming, that were handled by newer technologies. Federated learning is among them. It came with more robust, and intelligent solutions to effectively implement the eLearning concept. Hence, in this work we will explain how eLearning helps in achieving sustainability, and then how technology can serve this virtual concept. We will focus on one of the latest technologies of AI that helps in implementing eLearning, which is Federated Learning. Therefore, we will try to filter the most interesting works in eLearning, especially the ones using Federated learning.
Key words: Sustainability / SDGs / artificial intelligence / federated learning / sustainable development / eLearning / online learning
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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