The H2020 TEACHING project puts forward a human-centered vision for adapting and optimising autonomous applications, leveraging users' physiological, emotional and cognitive states. Such a goal can be achieved by building a distributed, embedded and federated learning system complemented by methods and tools to enforce its dependability, security, and privacy preservation.

Supporting privacy preservation by distributed and federated learning on the edge

Dazzi P;Gotta A
2021

Abstract

The H2020 TEACHING project puts forward a human-centered vision for adapting and optimising autonomous applications, leveraging users' physiological, emotional and cognitive states. Such a goal can be achieved by building a distributed, embedded and federated learning system complemented by methods and tools to enforce its dependability, security, and privacy preservation.
2021
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Distributed learning
Federated learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/447204
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