34 citations · 46 across the 3 of their papers we have counts for
4 papers · 1 filter
Distributed Constrained Online Learning
Santiago Paternain, Soomin Lee, Michael M. Zavlanos +1
In this paper, we consider groups of agents in a network that select actions in order to satisfy a set of constraints that vary arbitrarily over time and minimize a time-varying fu…
On the Sublinear Regret of Distributed Primal-Dual Algorithms for Online Constrained Optimization
Soomin Lee, Michael M. Zavlanos
This paper introduces consensus-based primal-dual methods for distributed online optimization where the time-varying system objective function is given as the sum…
Complexity Certification of a Distributed Augmented Lagrangian Method
Soomin Lee, Nikolaos Chatzipanagiotis, Michael M. Zavlanos
In this paper we present complexity certification results for a distributed Augmented Lagrangian (AL) algorithm used to solve convex optimization problems involving globally couple…
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
Guanghui Lan, Soomin Lee, Yi Zhou
We present a new class of decentralized first-order methods for nonsmooth and stochastic optimization problems defined over multiagent networks. Considering that communication is a…