FLoE uses Fisher information to pick the transformer layers that matter and a Bayesian optimizer to set LoRA rank, cutting trainable parameters while keeping or improving accuracy.
Optuna: A next- generation hyperparameter optimization framework
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FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts
FLoE uses Fisher information to pick the transformer layers that matter and a Bayesian optimizer to set LoRA rank, cutting trainable parameters while keeping or improving accuracy.