Parameterized Distributed Complexity Theory: A logical approach
Sebastian Siebertz, Alexandre Vigny

TL;DR
This paper develops a logical framework for parameterized distributed complexity, introducing hierarchies and classes like Distributed-FPT, to analyze the complexity of distributed problems with respect to parameters.
Contribution
It introduces a logical approach to parameterized distributed complexity, defining new hierarchies and classes that extend classical concepts to distributed computing models.
Findings
Defined Distributed-FPT class for distributed algorithms with parameterized complexity
Introduced Distributed-W-hierarchy and Distributed-A-hierarchy with logical characterizations
Provided a robust framework for classifying distributed problems based on logical reductions
Abstract
Parameterized complexity theory offers a framework for a refined analysis of hard algorithmic problems. Instead of expressing the running time of an algorithm as a function of the input size only, running times are expressed with respect to one or more parameters of the input instances. In this work we follow the approach of parameterized complexity to provide a framework of parameterized distributed complexity. The central notion of efficiency in parameterized complexity is fixed-parameter tractability and we define the distributed analogue Distributed-FPT (for Distributed in ) as the class of problems that can be solved in communication rounds in the Distributed model of distributed computing, where is the parameter of the problem instance and is an arbitrary computable function. To classify hardness we introduce three hierarchies.…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Computability, Logic, AI Algorithms · Advanced Graph Theory Research
