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Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Li, Zilinghan, He, Shilan, Chaturvedi, Pranshu, Kindratenko, Volodymyr, Huerta, Eliu A, Kim, Kibaek, Madduri, Ravi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Distributed, Parallel, and Cluster Computing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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