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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…
math.OC2017
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization
Angelia Nedić, Alex Olshevsky, Michael G. Rabbat
In decentralized optimization, nodes cooperate to minimize an overall objective function that is the sum (or average) of per-node private objective functions. Algorithms interleave…