A federated fine-tuning method combining shared multi-head low-rank bases, singular-value shrinkage, and layer-wise budget allocation to improve accuracy under non-IID client data.
Scaffold: Stochastic controlled averaging for federated learning,
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Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning
A federated fine-tuning method combining shared multi-head low-rank bases, singular-value shrinkage, and layer-wise budget allocation to improve accuracy under non-IID client data.