Parameter-Efficient Fine Tuning

The article presents FedPEAT, a system that merges federated learning, parameter-efficient fine-tuning, and emulator-assisted tuning for AI foundation models with mobile edge computing. The system is designed to address challenges…

The research introduces a novel framework, FedPEAT, which converges Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning. The framework is designed to address the challenges in deploying and fine-tuning…