Zhaonan Qu

According to our database, Zhaonan Qu authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Optimal Diagonal Preconditioning.

Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou

Oper. Res., 2025

2024

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting.

Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg.

Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou

J. Artif. Intell. Res., 2023

Scalable Approximate Optimal Diagonal Preconditioning.

Wenzhi Gao, Zhaonan Qu, Madeleine Udell, Yinyu Ye

CoRR, 2023

On Sinkhorn's Algorithm and Choice Modeling.

Zhaonan Qu, Alfred Galichon, Johan Ugander

CoRR, 2023

2022

Optimal Diagonal Preconditioning: Theory and Practice.

Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou

CoRR, 2022

2020

Federated Learning's Blessing: FedAvg has Linear Speedup.

Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou

CoRR, 2020

Diagonal Preconditioning: Theory and Algorithms.

Zhaonan Qu, Yinyu Ye, Zhengyuan Zhou

CoRR, 2020