Privacy-Preserving Water Quality Forecasting Using Federated Learning Across Distributed Water Monitoring Nodes and Optimized RPART Modelling

Key Points

• Utilizing federated learning enhances water quality prediction accuracy while preserving data privacy.
• Forecasting results from optimized RPART modelling show significant improvements in prediction efficiency.
• Distributed monitoring nodes play a critical role in managing water quality by providing real-time data.
• This privacy-preserving technique could revolutionize environmental management practices in polluted areas.