arXiv Machine Learning June 8, 2026 By Sijia Wang, Ricardo Henao

Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning

Read the original on arXiv Machine Learning →

arXiv:2508. 02039v2 Announce Type: replace Abstract: Increasing concerns for data privacy and other difficulties associated with retrieving source data for model training have created the need for source-free transfer learning, in which one only has access to pre-trained models instead of data from the original source domains.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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