research
∙
04/01/2022
Optimising Communication Overhead in Federated Learning Using NSGA-II
Federated learning is a training paradigm according to which a server-ba...
share
research
∙
01/27/2016
Efficient Hill-Climber for Multi-Objective Pseudo-Boolean Optimization
Local search algorithms and iterated local search algorithms are a basic...
research
∙
05/07/2015
Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning
This paper introduces the NK Echo State Network. The problem of learning...
research
∙
06/11/2014
A Hitchhiker's Guide to Search-Based Software Engineering for Software Product Lines
Search Based Software Engineering (SBSE) is an emerging discipline that ...
research
∙
10/15/2012
