Abstract: In this paper, we propose two communication-efficient decentralized optimization algorithms over a general directed multi-agent network. The first algorithm, termed Compressed Push-Pull (CPP ...

Abstract: Communication compression techniques are of growing interests for solving the decentralized optimization problem under limited communication, where the global objective is to minimize the ...

This article focuses on distributed nonconvex optimization by exchanging information between agents to minimize the average of local nonconvex cost functions. The communication channel between agents ...

This article proposes a distributed stochastic algorithm with variance reduction for general smooth non-convex finite-sum optimization, which has wide applications in signal processing and machine ...

The repository contains additional numerical results and python implementation for the following manuscripts. [1] Berahas, Albert S., Raghu Bollapragada, and Shagun Gupta. "Balancing communication and ...