Rethinking Resource Management in Edge Learning: A Joint Pre-training
and Fine-tuning Design Paradigm
Rethinking Resource Management in Edge Learning: A Joint Pre-training
and Fine-tuning Design Paradigm
In some applications, edge learning is experiencing a shift in focusing from conventional learning from scratch to new two-stage learning unifying pre-training and task-specific fine-tuning. This paper considers the problem of joint communication and computation resource management in a two-stage edge learning system. In this system, model pre-training is first …