#distributed optimization
5 resultsOn 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…
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…
A Distributed Stochastic Gradient Tracking Method
Shi Pu, Angelia NediÄ
The paper proposes a distributed stochastic gradient tracking algorithm for multi‑agent convex optimization, showing that agents’ iterates converge exponentially fast to a neighbor…
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…
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…