Privacy masking stochastic subgradient-push algorithm for distributed online optimization
This article investigates the problem of distributed online optimization for a group of units
communicating on time-varying unbalanced directed networks. The main target of the set of …
communicating on time-varying unbalanced directed networks. The main target of the set of …
Projected stochastic primal-dual method for constrained online learning with kernels
We consider the problem of stochastic optimization with nonlinear constraints, where the
decision variable is not vector-valued but instead a function belonging to a reproducing …
decision variable is not vector-valued but instead a function belonging to a reproducing …
[图书][B] Distributed Optimization in Networked Systems: Algorithms and Applications
This book focuses on improving the performance (convergence rate, communication
efficiency, computational efficiency, etc.) of algorithms in the context of distributed …
efficiency, computational efficiency, etc.) of algorithms in the context of distributed …
Privacy Preserving Algorithms for Distributed Online Learning
In this chapter, we focus on introducing a distributed online optimization problem for a set of
nodes communicating on a time-varying unbalanced directed network, while considering the …
nodes communicating on a time-varying unbalanced directed network, while considering the …
Distributed Optimization in Networked Systems
In recent years, the Internet of Things (IoT) and big data have been interconnected to a wide
and deep extent through the sensing, computing, communication, and control of intelligent …
and deep extent through the sensing, computing, communication, and control of intelligent …