Towards Proactive Context-Aware IoT Environments by Means of Federated Learning

Rentero-Trejo, Rubén; Flores-Martín, Daniel; Galán-Jiménez, Jaime; Garcí­a-Alonso, José; Murillo, Juan Manuel; Berrocal, Javier

doi:10.1007/978-3-030-92231-3_3

Cited by 2 publications

(2 citation statements)

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“…IoT refers to the interconnection through the Internet of a set of equipment, also called "things," and that we use on a daily basis [50][51][52][53][54]. The use of IoT facilitates daily life, and the data generated allows decisions to be made according to the scenario and context in which a problem occurs [55][56]. The IoT implementation in the field of an educational institution allows for the generation of an intelligent environment, contributing to the generation of different pedagogical strategies based on the student's daily information, for example, mitigating the demotivation of the Chamorro-Atalaya et al…”

Section: Introductionmentioning

confidence: 99%

Smart Environments through the Internet of Things and Its Impact on University Education: A Systematic Review

Chamorro-Atalaya,

Morales-Romero,

Quispe-Andía

et al. 2023

Int. J. Onl. Eng.

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At present, there is diverse scientific evidence of the contributions of smart environments (SE) that have positively impacted various urban problems. However, the concept of SE is very broad, so it is relevant to investigate how these technological trends have been integrated into the university educational environment. Therefore, the objective of this study is to explore and describe the state of the art on the impact of intelligent environments implemented through the Internet of Things (IoT) in university education. Therefore, a systematic review of the literature was developed. The research was developed with a mixed approach and descriptive scope. From this study, it was determined that the purpose of implementing SE in university education is focused on contributing to the teaching and learning process and managing and optimizing the use of resources provided by the educational environment. In addition, smart classrooms are the type of environments that have been implemented to a greater extent and whose results show a positive impact on indicators such as motivation, participation, interaction, satisfaction, and student attitude. With which it is concluded that universities should reflect on the implementation of institutional policies that lead to the progressive implementation of SE, seeking to transcend from being just simple learning classrooms to sustainable environments that contribute to student health and environmental conservation.

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Section: Introductionmentioning

confidence: 99%

Smart Environments through the Internet of Things and Its Impact on University Education: A Systematic Review

Chamorro-Atalaya,

Morales-Romero,

Quispe-Andía

et al. 2023

Int. J. Onl. Eng.

View full text Add to dashboard Cite

show abstract

“…This allows the system to make more accurate and personalized recommendations that better suit the users' needs and preferences [65]. By taking into account the user's current context, the system can provide recommendations that are more accurate and relevant to the user's needs [66,67]. This type of system can help reduce the amount of data that need to be collected and stored by the system, as the data used to generate the recommendations are already present in the user's context [68].…”

mentioning

confidence: 99%

A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems

et al. 2023

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Big data is a rapidly growing field, and new developments are constantly emerging to address various challenges. One such development is the use of federated learning for recommendation systems (FRSs). An FRS provides a way to protect user privacy by training recommendation models using intermediate parameters instead of real user data. This approach allows for cooperation between data platforms while still complying with privacy regulations. In this paper, we explored the current state of research on FRSs, highlighting existing research issues and possible solutions. Specifically, we looked at how FRSs can be used to protect user privacy while still allowing organizations to benefit from the data they share. Additionally, we examined potential applications of FRSs in the context of big data, exploring how these systems can be used to facilitate secure data sharing and collaboration. Finally, we discuss the challenges associated with developing and deploying FRSs in the real world and how these challenges can be addressed.

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Towards Proactive Context-Aware IoT Environments by Means of Federated Learning

Cited by 2 publications

References 10 publications

Smart Environments through the Internet of Things and Its Impact on University Education: A Systematic Review

Smart Environments through the Internet of Things and Its Impact on University Education: A Systematic Review

A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems

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