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#distributed optimization

5 results
stat.ML2019

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond

Xiao-Tong Yuan, Ping Li

The paper introduces new variants of the DANE distributed approximate Newton algorithm, adding backtracking line search and a heavy‑ball acceleration to achieve global convergence…

#distributed optimization#approximate newton methods#convergence analysis#line search
math.OC2019

A Push-Pull Gradient Method for Distributed Optimization in Networks

Shi Pu, Wei Shi, Jinming Xu +1

The paper proposes a push‑pull gradient algorithm for solving convex optimization problems over a network, where each node exchanges decision variables and gradient information wit…

#distributed optimization#convex optimization#gradient methods#networked systems
math.OC2019

A Distributed Stochastic Gradient Tracking Method

Shi Pu, Angelia Nedić

The paper proposes a distributed stochastic gradient tracking algorithm for multi‑agent convex optimization, showing that agents’ iterates converge exponentially fast to a neighbor…

#distributed optimization#stochastic gradient#multi‑agent systems#convex optimization
cs.DC2019

AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs

Jiaqi Zhang, Keyou You

The paper introduces AsySPA, an exact asynchronous distributed subgradient-push algorithm that solves convex optimization problems over directed graphs, allowing nodes to update at…

#asynchronous algorithms#distributed optimization#convex optimization#directed graphs
cs.DC2019

Popt4jlib: A Parallel/Distributed Optimization Library for Java

Ioannis T. Christou

The paper presents popt4jlib, an open‑source Java library that provides parallel and distributed implementations of many meta‑heuristic and exact optimization algorithms, focusing…

#parallel computing#distributed optimization#metaheuristic algorithms#java libraries