Uncertainty-Aware Federated Learning for Infant Movement Analysis
This work presents the first federated learning framework for automated infant movement analysis and General Movement Assessment using skeletal motion data, and proposes an Uncertainty-Aware Federated Averaging (UA-FedAvg) strategy that incorporates predictive entropy derived from MC-Dropout into the federated aggregat...
Edmond S. L. Ho
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