Search Results for author: Gerardo Iñiguez

Found 2 papers, 1 papers with code

Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity

no code implementations7 Dec 2023 Lorenzo Valerio, Chiara Boldrini, Andrea Passarella, János Kertész, Márton Karsai, Gerardo Iñiguez

Federated Learning (FL) is a well-known framework for successfully performing a learning task in an edge computing scenario where the devices involved have limited resources and incomplete data representation.

Edge-computing Federated Learning

Extracting the multimodal fingerprint of urban transportation networks

1 code implementation5 Jun 2020 Luis Natera, Federico Battiston, Gerardo Iñiguez, Michael Szell

Urban mobility increasingly relies on multimodality, combining the use of bicycle paths, streets, and rail networks.

Physics and Society Social and Information Networks

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