Search Results for author: Marco Ajmone Marsan

Found 3 papers, 0 papers with code

On the Limit Performance of Floating Gossip

no code implementations16 Feb 2023 Gianluca Rizzo, Noelia Perez Palma, Marco Ajmone Marsan, Vincenzo Mancuso

In this paper we investigate the limit performance of Floating Gossip, a new, fully distributed Gossip Learning scheme which relies on Floating Content to implement location-based probabilistic evolution of machine learning models in an infrastructure-less manner.

Selecting the top-quality item through crowd scoring

no code implementations23 Dec 2015 Alessandro Nordio, Alberto Tarable, Emilio Leonardi, Marco Ajmone Marsan

We investigate crowdsourcing algorithms for finding the top-quality item within a large collection of objects with unknown intrinsic quality values.

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