33 citations · 113 across the 20 of their papers we have counts for
5 papers · 1 filter
Distributed Random Reshuffling over Networks
Kun Huang, Xiao Li, Andre Milzarek +2
In this paper, we consider distributed optimization problems where agents, each possessing a local cost function, collaboratively minimize the average of the local cost functio…
Optimal Gradient Tracking for Decentralized Optimization
Zhuoqing Song, Lei Shi, Shi Pu +1
In this paper, we focus on solving the decentralized optimization problem of minimizing the sum of objective functions over a multi-agent network. The agents are embedded in an…
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs
Zhuoqing Song, Lei Shi, Shi Pu +1
We consider the decentralized optimization problem, where a network of agents aims to collaboratively minimize the average of their individual smooth and convex objective funct…
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
Zhuoqing Song, Lei Shi, Shi Pu +1
In this paper, we propose two communication efficient decentralized optimization algorithms over a general directed multi-agent network. The first algorithm, termed Compressed Push…
Compressed Gradient Tracking Methods for Decentralized Optimization with Linear Convergence
Yiwei Liao, Zhuorui Li, Kun Huang +1
Communication compression techniques are of growing interests for solving the decentralized optimization problem under limited communication, where the global objective is to minim…