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.
Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.