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Supporting privacy preservation by distributed and federated learning on the edge

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Distributed learning; Federated learning
Elenco autori:
Dazzi, Patrizio; Gotta, Alberto
Autori di Ateneo:
GOTTA ALBERTO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/447204
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/447204/87454/prod_460250-doc_179374.pdf
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URL

https://ercim-news.ercim.eu/en127/r-i/supporting-privacy-preservation-by-distributed-and-federated-learning-on-the-edge
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