Federated Vision: Model Merging for PEFT
Unimore is seeking researchers for advanced work on Model Merging techniques for Deep Learning models applied to Computer Vision tasks within Federated Learning settings. The role emphasizes Parameter-Efficient Fine-Tuning and full fine-tuning regimes, located in Italy and aligned with EU research standards.
The fellowship targets recognized researchers (R2–R4) with a priori qualifications and a selective public procedure based on qualifications and interviews.
The fellowship targets recognized researchers (R2–R4) with a priori qualifications and a selective public procedure based on qualifications and interviews.