Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Supporting privacy preservation by distributed and federated learning on the edge

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Distributed learning; Federated learning
List of contributors:
Dazzi, Patrizio; Gotta, Alberto
Authors of the University:
GOTTA ALBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/447204
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/447204/87454/prod_460250-doc_179374.pdf
  • Overview

Overview

URL

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

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)