31 citations · 38 across the 7 of their papers we have counts for
7 papers
Incentive Analysis for Agent Participation in Federated Learning
Lihui Yi, Xiaochun Niu, Ermin Wei
Federated learning offers a decentralized approach to machine learning, where multiple agents collaboratively train a model while preserving data privacy. In this paper, we investi…
Exact Label Recovery in Euclidean Random Graphs
Julia Gaudio, Charlie Guan, Xiaochun Niu +1
In this paper, we propose a family of label recovery problems on weighted Euclidean random graphs. The vertices of a graph are embedded in according to a Poisson poi…
Exact Community Recovery in the Geometric SBM
Julia Gaudio, Xiaochun Niu, Ermin Wei
We study the problem of exact community recovery in the Geometric Stochastic Block Model (GSBM), where each vertex has an unknown community label as well as a known position, gener…
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
Zhenyu Sun, Xiaochun Niu, Ermin Wei
Generalization performance is a key metric in evaluating machine learning models when applied to real-world applications. Good generalization indicates the model can predict unseen…
DISH: A Distributed Hybrid Optimization Method Leveraging System Heterogeneity
Xiaochun Niu, Ermin Wei
We study distributed optimization problems over multi-agent networks, including consensus and network flow problems. Existing distributed methods neglect the heterogeneity among ag…
DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity
Xiaochun Niu, Ermin Wei
We consider solving distributed consensus optimization problems over multi-agent networks. Current distributed methods fail to capture the heterogeneity among agents' local computa…
FedHybrid: A Hybrid Primal-Dual Algorithm Framework for Federated Optimization
Xiaochun Niu, Ermin Wei
We consider a multi-agent consensus optimization problem over a server-client (federated) network, where all clients are connected to a central server. Current distributed algorith…