Journal: Scientific Reports

Article Title: Federated learning with swarm intelligence for efficient and secure medical image analysis

doi: 10.1038/s41598-026-50882-8

Figure Lengend Snippet: Samples of patients with monkeypox. The first row displays samples from abnormal patients, while the second row shows samples from normal individuals.

Article Snippet: The Monkeypox dataset, also publicly accessible on Kaggle, was provided by Nafin Hossain and contains anonymized dermatological images suitable for machine learning research.

Techniques:

Journal: Scientific Reports

Article Title: Federated learning with swarm intelligence for efficient and secure medical image analysis

doi: 10.1038/s41598-026-50882-8

Figure Lengend Snippet: Performance analysis for Hospital Model A (Client A) across COVID-19, Monkeypox, and Breast Cancer datasets. The radar charts display accuracy, precision, recall, specificity, and F1-score metrics for different CNN-optimization combinations.

Article Snippet: The Monkeypox dataset, also publicly accessible on Kaggle, was provided by Nafin Hossain and contains anonymized dermatological images suitable for machine learning research.

Techniques:

Journal: Scientific Reports

Article Title: Federated learning with swarm intelligence for efficient and secure medical image analysis

doi: 10.1038/s41598-026-50882-8

Figure Lengend Snippet: Performance evaluation for Hospital Model B (Client B) showing superior COVID-19 detection capabilities with VGG16 + PSO and exceptional Monkeypox classification using Inception + PSO across all evaluation metrics.

Article Snippet: The Monkeypox dataset, also publicly accessible on Kaggle, was provided by Nafin Hossain and contains anonymized dermatological images suitable for machine learning research.

Techniques:

Journal: Scientific Reports

Article Title: Federated learning with swarm intelligence for efficient and secure medical image analysis

doi: 10.1038/s41598-026-50882-8

Figure Lengend Snippet: Hospital Model C (Client C) performance analysis demonstrating exceptional consistency across all medical datasets, with VGG16 + PSO excelling in COVID-19 detection and Inception + PSO achieving superior Monkeypox classification accuracy.

Article Snippet: The Monkeypox dataset, also publicly accessible on Kaggle, was provided by Nafin Hossain and contains anonymized dermatological images suitable for machine learning research.

Techniques:

Journal: Scientific Reports

Article Title: Federated learning with swarm intelligence for efficient and secure medical image analysis

doi: 10.1038/s41598-026-50882-8

Figure Lengend Snippet: Hospital Model D (Client D) performance evaluation showing exceptional COVID-19 detection with VGG16 + PSO achieving 96.71% accuracy and superior Monkeypox classification using Inception + PSO with balanced precision and recall metrics.

Article Snippet: The Monkeypox dataset, also publicly accessible on Kaggle, was provided by Nafin Hossain and contains anonymized dermatological images suitable for machine learning research.

Techniques: