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FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Fan, Flint Xiaofeng, Tan, Cheston, Ong, Yew-Soon, Wattenhofer, Roger, Ooi, Wei-Tsang
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Cryptography and Security I.2.11
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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