A federated stress-prediction model trained on device matched centralized accuracy and local fine-tuning improved per-person accuracy in a 33-subject assembly task.
Communication-Efficient Learning of Deep Networks from Decentral- ized Data,
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Personalized Mental State Evaluation in Human-Robot Interaction using Federated Learning
A federated stress-prediction model trained on device matched centralized accuracy and local fine-tuning improved per-person accuracy in a 33-subject assembly task.