Zhi-Xiong Zhang

Selective Tensor Freezing for Efficient Fine-Tuning in Resource-Constrained Federated Learning

Fine-tuning remains essential for adapting large models to diverse downstream tasks, yet doing so in a privacy-preserving and resource-efficient manner is challenging, particularly in federated learning (FL) on edge devices. Parameter tensor freezing is a promising solution. However, current methods face key limitation...