Balancing Communication and Computation in Distributed Optimization

DOI10.1109/TAC.2018.2880407zbMath1482.90146arXiv1709.02999OpenAlexW2962970367MaRDI QIDQ5228298

Raghu Bollapragada, Nitish Shirish Keskar, Albert S. Berahas, Ermin Wei

Publication date: 12 August 2019

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.02999

Mathematics Subject Classification ID

Convex programming (90C25) Distributed systems (68M14)

Related Items (8)

Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation ⋮ Improving the convergence of distributed gradient descent via inexact average consensus ⋮ DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization ⋮ Resilient penalty function method for distributed constrained optimization under Byzantine attack ⋮ Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo ⋮ EFIX: exact fixed point methods for distributed optimization ⋮ Convergence results of a nested decentralized gradient method for non-strongly convex problems ⋮ On the convergence of exact distributed generalisation and acceleration algorithm for convex optimisation

This page was built for publication: Balancing Communication and Computation in Distributed Optimization