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