FedSpaLLM: Federated Pruning of Large Language Models
FedSpaLLM: Federated Pruning of Large Language Models
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Large Language Models (LLMs) achieve state-of-the-art performance but are challenging to deploy due to their high computational and storage demands. Pruning can reduce model size, yet existing methods assume public access to calibration data, which is impractical for privacy-sensitive applications. To address the challenge of pruning LLMs in privac...
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FedSpaLLM: Federated Pruning of Large Language Models
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TN_cdi_proquest_journals_3119305516
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3119305516
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E-ISSN
2331-8422
