2021
Journal article  Open Access

Supporting privacy preservation by distributed and federated learning on the edge

Bacciu D., Dazzi P., Gotta A.

Distributed learning  Federated learning 

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.

Source: ERCIM news online edition 127 (2021): 38–39.

Publisher: ERCIM., Paris



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BibTeX entry
@article{oai:it.cnr:prodotti:460250,
	title = {Supporting privacy preservation by distributed and federated learning on the edge},
	author = {Bacciu D. and Dazzi P. and Gotta A.},
	publisher = {ERCIM., Paris},
	journal = {ERCIM news online edition},
	volume = {127},
	pages = {38–39},
	year = {2021}
}
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TEACHING
A computing toolkit for building efficient autonomous applications leveraging humanistic intelligence


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