FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing
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…
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