We extend the notion of distributed decision in the framework of distributed network computing, inspired by both the polynomial hierarchy for Turing machines and recent results on so-called distributed graph automata. We show that, by using distributed decision mechanisms based on the interaction between a prover and a disprover, the size of the certificates distributed to the nodes for certifying a given network property can be drastically reduced. For instance, we prove that minimum spanning tree (MST) can be certified with O(logn)-bit certificates in n-node graphs, with just one interaction between the prover and the disprover, while it is known that certifying MST requires Ω(log2n)-bit certificates if only the prover can act. The impr...
We study decision problems related to graph properties from the perspective of nondeterministic dist...
In the framework of distributed network computing, it is known that not all Turing-decidable predica...
International audienceWe are dealing with the design of algorithms using few resources, enabling to ...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
International audienceIn the framework of distributed network computing, it is known that not all Tu...
International audienceWe are considering distributed network computing, in which computing entities ...
In the framework of distributed network computing, it is known that not all Turing-decidable predica...
We study decision problems related to graph properties from the perspective of nondeterministic dist...
In the framework of distributed network computing, it is known that not all Turing-decidable predica...
International audienceWe are dealing with the design of algorithms using few resources, enabling to ...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
International audienceWe extend the notion of \emph{distributed decision} in the framework of distri...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
We extend the notion of distributed decision in the framework of distributed network computing, insp...
International audienceIn the framework of distributed network computing, it is known that not all Tu...
International audienceWe are considering distributed network computing, in which computing entities ...
In the framework of distributed network computing, it is known that not all Turing-decidable predica...
We study decision problems related to graph properties from the perspective of nondeterministic dist...
In the framework of distributed network computing, it is known that not all Turing-decidable predica...
International audienceWe are dealing with the design of algorithms using few resources, enabling to ...