4-bit quantization in federated learning for aerospace predictive maintenance preserves accuracy with 8x lower communication cost, while 2-bit quantization produces high instability under non-IID data distributions.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance
4-bit quantization in federated learning for aerospace predictive maintenance preserves accuracy with 8x lower communication cost, while 2-bit quantization produces high instability under non-IID data distributions.