scholar.google.com › citations
Abstract: In this paper, a distributed convex optimization algorithm, termed distributed coordinate dual averaging (DCDA) algorithm, is proposed.
Oct 29, 2018 · Abstract:In this paper, a distributed convex optimization algorithm, termed \emph{distributed coordinate dual averaging} (DCDA) algorithm, ...
ABSTRACT. In this paper, a distributed convex optimization algorithm, termed distributed coordinate dual averaging (DCDA) algo- rithm, is proposed.
In this paper, a distributed convex optimization algorithm, termed distributed coordinate dual averaging (DCDA) algorithm, is proposed.
The DCDA algorithm is proposed as a distributed convex optimization algorithm in which the communication between nodes in each round is restricted to a ...
In this paper, a distributed convex optimization algorithm, termed \emph{distributed coordinate dual averaging} (DCDA) algorithm, is proposed.
In this paper, a distributed convex optimization algorithm, termed distributed coordinate dual averaging (DCDA) algorithm, is proposed.
Oct 31, 2022 · This paper studies a decentralized online learning algorithm that uses compressed communication and achieves the same regret (order-wise) as an ...
Dive into the research topics of 'Distributed Convex Optimization with Limited Communications'. Together they form a unique fingerprint. Sort by; Weight ...
People also ask
What are the conditions for a convex optimization problem?
What is a real life example of convex optimization?
What is more preferable to solve convex or non convex optimization problem?
What are the different techniques used for convex optimization?
In general, there are two different kinds of strategies to save communication cost. On the one hand, due to the limited bandwidth in practice, ...