Search Results for author: Xinyu Feng

Found 3 papers, 1 papers with code

Aligning Generative Language Models with Human Values

no code implementations Findings (NAACL) 2022 Ruibo Liu, Ge Zhang, Xinyu Feng, Soroush Vosoughi

Although current large-scale generative language models (LMs) can show impressive insights about factual knowledge, they do not exhibit similar success with respect to human values judgements (e. g., whether or not the generations of an LM are moral).

Text Generation Transfer Learning

EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party

no code implementations17 Jan 2022 Yimin Huang, Xinyu Feng, Wanwan Wang, Hao He, Yukun Wang, Ming Yao

In most VFL frameworks, to protect the security and privacy of the participants' local data, a third party is needed to generate homomorphic encryption key pairs and perform decryption operations.

regression Vertical Federated Learning

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