Search Results for author: Yongjin Shin

Found 2 papers, 2 papers with code

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning

1 code implementation6 Jun 2021 Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun

In federated learning, a strong global model is collaboratively learned by aggregating clients' locally trained models.

Continual Learning Federated Learning +1

Sequential Likelihood-Free Inference with Neural Proposal

1 code implementation15 Oct 2020 Dongjun Kim, Kyungwoo Song, YoonYeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo

This paper introduces a new sampling approach, called Neural Proposal (NP), of the simulation input that resolves the biased data collection as it guarantees the i. i. d.

Bayesian Inference

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