| Texto completo | |
| Autor(es): |
Mosaiyebzadeh, Fatemeh
;
Pouriyeh, Seyedamin
;
Parizi, Reza M.
;
Sheng, Quan Z.
;
Han, Meng
;
Zhao, Liang
;
Sannino, Giovanna
;
Ranieri, Caetano Mazzoni
;
Ueyama, Jo
;
Batista, Daniel Macedo
Número total de Autores: 10
|
| Tipo de documento: | Artigo Científico |
| Fonte: | ELECTRONICS; v. 12, n. 12, p. 28-pg., 2023-06-01. |
| Resumo | |
Advancements in wearable medical devices using the IoT technology are shaping the modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT), efficient healthcare services can be provided to patients. Healthcare professionals have effectively used AI-based models to analyze the data collected from IoHT devices to treat various diseases. Data must be processed and analyzed while avoiding privacy breaches, in compliance with legal rules and regulations, such as the HIPAA and GDPR. Federated learning (FL) is a machine learning-based approach allowing multiple entities to train an ML model collaboratively without sharing their data. It is particularly beneficial in healthcare, where data privacy and security are substantial concerns. Even though FL addresses some privacy concerns, there is still no formal proof of privacy guarantees for IoHT data. Privacy-enhancing technologies (PETs) are tools and techniques designed to enhance the privacy and security of online communications and data sharing. PETs provide a range of features that help protect users' personal information and sensitive data from unauthorized access and tracking. This paper comprehensively reviews PETs concerning FL in the IoHT scenario and identifies several key challenges for future research. (AU) | |
| Processo FAPESP: | 21/10921-2 - Processamento de imagens para detecção e predição de enchentes |
| Beneficiário: | Caetano Mazzoni Ranieri |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 14/50937-1 - INCT 2014: da Internet do Futuro |
| Beneficiário: | Fabio Kon |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 15/24485-9 - Internet do futuro aplicada a cidades inteligentes |
| Beneficiário: | Fabio Kon |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |