Research Article
Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications
Table 6
Summaries the potential benefits of FL in pandemic preparedness.
| Benefits | Description |
| Privacy preservation | Local model training preserve data privacy by keeping raw data at individual institutions | Enhanced data security | Encrypted communication and decentralized model training reduce data security risks | Improved data utilization | Aggregating knowledge from multiple sources enhances insights for more effective responses | Decentralized decision-making | Collaborative model training enable local decision-making with the benefit of shared knowledge | Real-time surveillance | Aggregated data from various sources enable early detection and monitoring of outbreaks | Improved predictive models | Larger and diverse datasets result in more accurate and robust predictive models | Resource optimization | Efficient allocation of resources based on aggregated insights and predictions | Rapid response and adaptability | Quick model updates enable adaptive responses to changing pandemic conditions |
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