scholar.google.com › citations
In today's networked world, resource providers and consumers are distributed globally and locally, es- pecially under current cloud computing environment.
Distributed linear programming DisLP problems allow collaborative agents to jointly maximize profits or minimize costs with a linear objective function while ...
In this paper, we present a secure and extremely efficient protocol to solve DisLP problems where constraints are arbi- trarily partitioned and no variable is ...
Nov 12, 2012 · Distributed linear programming (DisLP) problems allow collaborative agents to jointly maximize profits or minimize costs with a linear objective ...
In this paper, we present a secure and extremely efficient protocol to solve DisLP problems where constraints are arbitrarily partitioned and no variable is ...
People also ask
Is linear programming NP hard?
What is the optimal solution in linear programming?
What is the ISO profit method in linear programming?
In which area is the linear programming model most commonly used?
Distributed linear programming (DisLP) problems allow collaborative agents to jointly maximize profits (or minimize costs) with a linear objective function ...
Fingerprint. Dive into the research topics of 'Secure and efficient distributed linear programming'. Together they form a unique fingerprint.
Our secure linear programming protocol computes the same later on scale the answers back down. ... Secure distributed linear algebra in a behaviors will be ...
The ADMM framework provides the freedom to pro- pose efficient methods for solving the subproblems in distributed machines. We propose a dual coordinate descent ...
Sep 20, 2024 · This post describes the award winning product called PDLP, a new first-order method based solver for large-scale linear programming.