9 citations · 27 across the 7 of their papers we have counts for
13 papers
Rate analysis of dual averaging for nonconvex distributed optimization
Changxin Liu, Xuyang Wu, Xinlei Yi +2
This work studies nonconvex distributed constrained optimization over stochastic communication networks. We revisit the distributed dual averaging algorithm, which is known to conv…
DeceFL: A Principled Decentralized Federated Learning Framework
Ye Yuan, Jun Liu, Dou Jin +12
Traditional machine learning relies on a centralized data pipeline, i.e., data are provided to a central server for model training. In many applications, however, data are inherent…
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
Xinlei Yi, Xiuxian Li, Tao Yang +3
This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run. The…
Distributed Online Convex Optimization with an Aggregative Variable
Xiuxian Li, Xinlei Yi, Lihua Xie
This paper investigates distributed online convex optimization in the presence of an aggregative variable without any global/central coordinators over a multi-agent network, where…
Distributed Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Tao Yang +3
This paper considers the problem of distributed bandit online convex optimization with time-varying coupled inequality constraints. This problem can be defined as a repeated game b…
Exponential Convergence for Distributed Smooth Optimization Under the Restricted Secant Inequality Condition
Xinlei Yi, Shengjun Zhang, Tao Yang +2
This paper considers the distributed smooth optimization problem in which the objective is to minimize a global cost function formed by a sum of local smooth cost functions, by usi…