Xiaochun Niu

12 papers A* 1A 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Incentive Analysis for Agent Participation in Federated Learning.
CDC
Lihui Yi, Xiaochun Niu, Ermin Wei
2025 J jnl
Incentive Analysis for Agent Participation in Federated Learning.
CoRR
Lihui Yi, Xiaochun Niu, Ermin Wei
2024 J jnl
Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms.
CoRR
Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang
2024 J jnl
DISH: A Distributed Hybrid Optimization Method Leveraging System Heterogeneity.
IEEE Trans. Signal Process.
Xiaochun Niu, Ermin Wei
2024 A* conf
Exact Community Recovery in the Geometric SBM.
SODA
Julia Gaudio, Xiaochun Niu, Ermin Wei
2024 J jnl
Exact Label Recovery in Euclidean Random Graphs.
CoRR
Julia Gaudio, Charlie K. Guan, Xiaochun Niu, Ermin Wei
2024 A conf
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters.
AISTATS
Zhenyu Sun, Xiaochun Niu, Ermin Wei
2023 J jnl
Exact Community Recovery in the Geometric SBM.
CoRR
Julia Gaudio, Xiaochun Niu, Ermin Wei
2023 J jnl
FedHybrid: A Hybrid Federated Optimization Method for Heterogeneous Clients.
IEEE Trans. Signal Process.
Xiaochun Niu, Ermin Wei
2023 J jnl
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters.
CoRR
Zhenyu Sun, Xiaochun Niu, Ermin Wei
2022 — conf
DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity.
CDC
Xiaochun Niu, Ermin Wei
2022 — conf
GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems.
Allerton
Xiaochun Niu, Ermin Wei