740 citations · 2.2k across the 43 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
math.OC2020
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Julien M. Hendrickx, Michael G. Rabbat
The aim of decentralized gradient descent (DGD) is to minimize a sum of functions held by interconnected agents. We study the stability of DGD in open contexts where agents can…
cs.LG2020★ 8 cited
Advances in Asynchronous Parallel and Distributed Optimization
Mahmoud Assran, Arda Aytekin, Hamid Feyzmahdavian +2
Motivated by large-scale optimization problems arising in the context of machine learning, there have been several advances in the study of asynchronous parallel and distributed op…