FATE-LLM - Empowering Large Language Models with Federated Learning
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This talk introduces FATE-LLM, a platform for using large language models in federated learning. It discusses design considerations around efficiency and security, shares experiments and evaluations, and describes how KubeFATE can manage workflows on Kubernetes.
Syllabus
FATE-LLM: Empowering Large Language Models with Federated Learning - Fangchi Wang & Layne Peng
Taught by
CNCF [Cloud Native Computing Foundation]