Federated Vision: Model Merging for PEFT & Deep Learning
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.
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The fellowship targets recognized researchers (R2–R4) with a priori qualifications and a selective public procedure based on qualifications and interviews.
#J-18808-Ljbffr