Denis Rochat

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We show that scale-free topologies have a positive impact on the performance of gossiping algorithms in peer-to-peer overlay networks. This result is important in the context of ad hoc networks, where each node participates in controlling the network topology. Our study shows that, when combined with such topologies, typical gossiping algorithms tend to(More)
Generalization is one of the most important performance evaluation criteria for artificial learning systems, in particular for supervised learning. While a large amount of literature and of well established results exist concerning the issue of generalization for many non-evolutionary Machine Learning strategies, like for instance Support Vector Machines,(More)
In this paper, we present an empirical study showing that scale-free topologies have a positive impact on the performance of gossiping algorithms in static sensor networks. More precisely, our simulations show that, when combined with such topologies, typical gossiping algorithms tend to require fewer messages and experience smaller latency than when(More)