Search Results for author: Ruicong Yao

Found 3 papers, 2 papers with code

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

1 code implementation31 May 2023 Junyi Zhu, Ruicong Yao, Matthew B. Blaschko

Seemingly, FL can provide a degree of protection against gradient inversion attacks on weight updates, since the gradient of a single step is concealed by the accumulation of gradients over multiple local iterations.

Federated Learning

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps

1 code implementation24 May 2023 Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens

In this work, we conduct a systematic study of exposure bias in DPM and, intriguingly, we find that the exposure bias could be alleviated with a novel sampling method that we propose, without retraining the model.

Denoising

Fast Linear Model Trees by PILOT

no code implementations8 Feb 2023 Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao

Linear model trees are regression trees that incorporate linear models in the leaf nodes.

Model Selection regression

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