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math.OC2025
Distributed Random Reshuffling Methods with Improved Convergence
Kun Huang, Linli Zhou, Shi Pu
This paper proposes two distributed random reshuffling methods, namely Gradient Tracking with Random Reshuffling (GT-RR) and Exact Diffusion with Random Reshuffling (ED-RR), to sol…
math.OC2024
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…
math.OC2024
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…