Author

Hoi-To Wai

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#machine learning Preprint Oct 2026

Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices

This paper revisits the distributed learning problem for training a multinomial logistic regression model with the Federated Averaging algorithm and shows that, with linearly separable data, $\texttt{FedAvg}$ is stable with any stepsizes and the objective values converge to zero at the rate of ${\cal O}(1/R)$, where $R...

Hok-Fong Wong, Hoi-To Wai, Chung-Yiu Yau · 0 citations

#machine learning Review Sep 2026

From topology learning to graph generation: A unifying perspective

By bridging graph topology learning and graph generation, this review provides a broader cross-disciplinary perspective on the field and outlines promising directions for future research.

Xiaowen Dong, Hoi-To Wai, Si-Heng Chen et al. · 0 citations