Sfoglia per Soggetto "Privacy-preserving techniques"
Items 1-3 di 3
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An explainable semi-personalized federated learning model
(2022)Training a model using batch learning requires uniform data storage in a repository. This approach is intrusive, as users have to expose their privacy and exchange sensitive data by sending them to central entities to be ... -
The role of compute nodes in privacy-aware decentralized AI
(2022)Mobile devices generate and store voluminous data valuable for training machine learning (ML) models. Decentralized ML model training approaches eliminate the need for sharing such privacy-sensitive data with centralized ... -
Self-sovereign, verifiable, ubiquitous and privacy preserving public entity documents through the use of blockchain technology
(2022)Nowadays, citizens tend to use digital services for their interaction with public entities and third party entities. In such cases, they are usually required to present personal public documents, to prove the validity of ...