Work

CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks

Year: 2023

Type: conference-paper

Source: Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Authors: Chen, Beidi, De Sa, Christopher, Liang, Percy, Lu, Yucheng, Ré, Christopher, Wang, Jue, Yuan, Binhang, Zhang, Ce

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7113259336

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