GreenEdge AI: Sustainable federated learning for smart city air quality prediction

Key Points

• Air quality predictions are enhanced using federated learning models, promoting sustainability in urban environments.
• The study highlights the effectiveness of federated learning, achieving significant improvements in accuracy over traditional methods.
• Analysis employed machine learning techniques tailored for air quality data, allowing for real-time insights.
• These findings call for broader application of sustainable AI methods in smart city initiatives; further exploration is needed.