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Fossa Skill Optimization Enabled Deep Learning for Medical Big Data Classification in IoT Using Federated Learning | Synapse
March 3, 2026
Fossa Skill Optimization Enabled Deep Learning for Medical Big Data Classification in IoT Using Federated Learning
MN
M. Nandini
DB
Deepak N. Biradar
Key Points
Classification accuracy improves with deep learning models using federated learning techniques in big data.
Key evidence shows a significant increase in performance metrics, illustrating the effectiveness of this approach.
The analysis employs advanced deep learning algorithms to handle large medical datasets in IoT contexts, enhancing data security.
This highlights the need for further exploration into federated learning applications in healthcare, ensuring better patient data management.
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Nandini et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75a04c6e9836116a1f7c0
https://doi.org/https://doi.org/10.1007/s40998-025-00973-5