CityGuard: A Privacy-First Framework for Real-Time Air Quality and Noise Anomaly Detection

隐私优先的实时空气质量与噪声异常检测框架

CityGuard is a privacy-first framework leveraging federated edge AI for real-time, multi-modal anomaly detection of air quality (PM2.5) and noise in urban IoT networks. By processing data locally on resource-constrained sensors, it preserves privacy, reduces communication overhead by 60%, and enables sub-second inference for rapid, localized public health alerts and sustainable smart city operations.