A clustered federated learning framework uses specialized or ensemble models to pseudo-label unlabeled device data, with timing and scheduling heuristics that the authors say improve accuracy and cut energy use.
Empow- ering hwns with efficient data labeling: A clustered federated semi- supervised learning approach,
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Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning
A clustered federated learning framework uses specialized or ensemble models to pseudo-label unlabeled device data, with timing and scheduling heuristics that the authors say improve accuracy and cut energy use.