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most citedUnderstanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees

1 citations · 1 across the 7 of their papers we have counts for

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math.ST2024

Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions

Yizhe Ding, Runze Li, Lingzhou Xue

This paper studies the convergence rates of optimal transport (OT) map estimators, a topic of growing interest in statistics, machine learning, and various scientific fields. Despi…

stat.ME2024

Hypothesis Testing for High-Dimensional Matrix-Valued Data

Shijie Cui, Danning Li, Runze Li +1

This paper addresses hypothesis testing for the mean of matrix-valued data in high-dimensional settings. We investigate the minimum discrepancy test, originally proposed by Cragg (…

stat.ML2024★ 1 cited

Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees

Xin Yu, Zelin He, Ying Sun +2

Personalized federated learning (PFL) offers a flexible framework for aggregating information across distributed clients with heterogeneous data. This work considers a personalized…