M. A. Elsayed

Adaptive BitFit: Gradient-Driven Sparse Bias Fine-Tuning for Efficient Cancer Classification

Accurate histopathological classification is essential for early cancer diagnosis, yet deep learning models often require extensive computational resources, limiting their deployment in real-world clinical settings. Parameter-Efficient Fine-Tuning (PEFT) strategies offer a promising alternative, but existing methods su...