A federated learning framework fuses solar irradiance and PV generation data via co-attention, uses prototype alignment for imbalance, and aggregates models across communities to detect generation fraud while preserving privacy.
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A lightweight transformer predicts iconic gesture placement and intensity from text and emotion alone, outperforming GPT-4o on the BEAT2 dataset for real-time robot deployment.
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Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework
A federated learning framework fuses solar irradiance and PV generation data via co-attention, uses prototype alignment for imbalance, and aggregates models across communities to detect generation fraud while preserving privacy.
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Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech
A lightweight transformer predicts iconic gesture placement and intensity from text and emotion alone, outperforming GPT-4o on the BEAT2 dataset for real-time robot deployment.