Academic Journal
Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy-Added Federated Learning Settings: Quantitative Study.
| العنوان: | Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy-Added Federated Learning Settings: Quantitative Study. |
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| المؤلفون: | Benouis, Mohamed, Andre, Elisabeth, Can, Yekta Said |
| المصدر: | JMIR Ment Health ; ISSN:2368-7959 ; Volume:11 |
| بيانات النشر: | JMIR Publications |
| سنة النشر: | 2024 |
| المجموعة: | PubMed Central (PMC) |
| مصطلحات موضوعية: | affective computing, data privacy, digital mental health, emotional well-being, empathetic sensors, ethics, federated learning, multitask learning, physiological signals, privacy, privacy preservation, sensitive data, wearable sensors, wearables |
| الوصف: | The rise of wearable sensors marks a significant development in the era of affective computing. Their popularity is continuously increasing, and they have the potential to improve our understanding of human stress. A fundamental aspect within this domain is the ability to recognize perceived stress through these unobtrusive devices. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | https://doi.org/10.2196/60003; https://pubmed.ncbi.nlm.nih.gov/39714484; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684349/ |
| DOI: | 10.2196/60003 |
| الاتاحة: | https://doi.org/10.2196/60003 https://pubmed.ncbi.nlm.nih.gov/39714484 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684349/ |
| Rights: | © Mohamed Benouis, Elisabeth Andre, Yekta Said Can. Originally published in JMIR Mental Health (https://mental.jmir.org). |
| رقم الانضمام: | edsbas.3DBC47A6 |
| قاعدة البيانات: | BASE |
| DOI: | 10.2196/60003 |
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