"Scalable And Efficient Gan-Based Distributed Training Approaches" Foggia

"Scalable And Efficient Gan-Based Distributed Training Approaches"
Foggia
Puglia, Foggia

Organisation/Company: Università di Foggia

Research Field: Engineering, Mathematics, Physics

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 27 Feb 2025 - 23:59 (UTC)

Type of Contract: To be defined

Job Status: Not Applicable

Is the job funded through the EU Research Framework Programme?

Other EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer DescriptionThe project aims to develop a training algorithm that is distributed and allows multiple agents, each with their own dataset and GAN model, to collaborate to improve the performance of the final model while minimizing the exchange of sensitive data.

The algorithm will integrate human-in-the-loop techniques to mitigate bias risks and ensure privacy, and will rely on fully distributed coordination techniques.

It will also explore optimization of data sharing through compression and transfer learning techniques.

Eligibility of fellowsCountry/ies of residence: EUROPE

Nationality/ies:

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