REVERB-FL uses a server-side reserve set with retraining and adversarial training to reduce poisoning effects and speed convergence in federated audio classification under non-IID data.
Short term spectral analysis, synthesis, and modification by discrete fourier transform,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
REVERB-FL: Server-Side Adversarial and Reserve-Enhanced Federated Learning for Robust Audio Classification
REVERB-FL uses a server-side reserve set with retraining and adversarial training to reduce poisoning effects and speed convergence in federated audio classification under non-IID data.