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Abstract: Resource-constrained organizations with vast datasets often face significant challenges in training and fine-tuning large language models (LLMs) due to privacy and compliance requirements.
Franzisca Zanker receives funding from the European Union (ERC, PolMig, 101161856). Views and opinions expressed are however those of the author only and do not necessarily reflect those of the ...
Abstract: Split learning (SL) is widely regarded as a promising distributed machine learning framework with superior privacy-preserving properties, lower communication and computation costs. However, ...
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