Litcius/Paper detail

Partially-federated learning: A new approach to achieving privacy and effectiveness

Marco Fisichella, Gianluca Lax, Antonia Russo

2022Information Sciences21 citationsDOI

Topics & Concepts

Federated learningComputer scienceArchitectureDistributed learningMachine learningInformation privacyArtificial intelligencePrivate information retrievalSample (material)Data sharingComputer securityArtChemistryMedicinePathologyChromatographyAlternative medicinePedagogyVisual artsPsychologyPrivacy-Preserving Technologies in DataCryptography and Data SecurityMobile Crowdsensing and Crowdsourcing
Partially-federated learning: A new approach to achieving privacy and effectiveness | Litcius