Pica Code-097 Model Merging for Federated Learning in Computer Vision

Pubblicato il 09-11-2026 · Italian Ministry of Education, University and Research · Italia

Organisation/Company Unimore Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 18 Nov 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Si candidi (facendo clic sul pulsante apposito) dopo aver controllato tutte le informazioni di lavoro riportate di seguito.
Offer Description

Research and implementation of Model Merging techniques for Deep Learning models applied to Computer Vision tasks in Federated Learning settings, addressing both Parameter-Efficient Fine-Tuning (PEFT) and full fine-tuning regimes.

- Italy

Eligibility of fellows: xysqume country/ies of residence:

- OTHER

Eligibility of fellows: nationality/ies:

- OTHER

Selection process

selective public procedure based on qualifications and interview

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