no code implementations • 18 Apr 2024 • Mina Aghaei Dinani, Adrian Holzer, Hung Nguyen, Marco Ajmone Marsan, Gianluca Rizzo
To address this issue, we present Optimized Gossip Learning (OGL)}, a distributed training approach based on the combination of GL with adaptive optimization of the learning process, which allows for achieving a target accuracy while minimizing the energy consumption of the learning process.
no code implementations • 16 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.
no code implementations • 11 Jun 2019 • Gaetano Manzo, Sebastian Otalora, Marco Ajmone Marsan, Torsten Braun, Hung Nguyen, Gianluca Rizzo
Opportunistic communications are expected to playa crucial role in enabling context-aware vehicular services.
no code implementations • 24 Oct 2018 • Gaetano Manzo, Juan Sebastian Otálora Montenegro, Gianluca Rizzo
Shaping the opportunistic communication area is a crucial task to achieve desired application performance efficiently.