M²FedAQI is a lightweight multimodal federated framework that fuses visual and tabular data via feature modulation for improved AQI prediction and regression on heterogeneous edge devices.
Air quality index prediction using an effective hybrid deep learning model.Environmental Pollution, 315:120404, 2022
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M$^2$FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices
M²FedAQI is a lightweight multimodal federated framework that fuses visual and tabular data via feature modulation for improved AQI prediction and regression on heterogeneous edge devices.