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          <dc:title>Supplementary information files for “SUPREME: A multi-GPU framework for reproducible image unlearning method evaluation”</dc:title>
          <dc:creator>Petros Andreou (18192721)</dc:creator>
          <dc:creator>Jamie Lanyon (19503577)</dc:creator>
          <dc:creator>Axel Finke (22739378)</dc:creator>
          <dc:creator>Georgina Cosma (7050713)</dc:creator>
          <dc:subject>Artificial intelligence</dc:subject>
          <dc:subject>Distributed computing and systems software</dc:subject>
          <dc:subject>Computer vision and multimedia computation</dc:subject>
          <dc:subject>Machine unlearning</dc:subject>
          <dc:subject>Distributed computing</dc:subject>
          <dc:subject>Multi-GPU</dc:subject>
          <dc:subject>Evaluation framework</dc:subject>
          <dc:subject>Reproducibility</dc:subject>
          <dc:subject>Image classification</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Supplementary files for article "SUPREME: A multi-GPU framework for reproducible image unlearning method evaluation"&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;br&gt;This record contains the supplementary material for “SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation”, accepted at the 2nd Workshop on Machine Unlearning and Privacy Preservation (WIPE-OUT 2026), co-located with ECML PKDD 2026. The supplementary document contains Appendices A–D: the SUPREME component registry, the unlearning metric definitions, additional results for Pins Face Recognition, and the ethical considerations.&lt;br&gt;&lt;br&gt;© The Author(s), CC BY-NC 4.0&lt;/p&gt;</dc:description>
          <dc:date>2026-09-21T08:22:08Z</dc:date>
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