Work

Federated Learning for Rule-Based Systems: Preliminary Studies

Year: 2024

Type: conference-paper

Source: IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)

DOI: 10.1109/rtsi61910.2024.10761552

Authors: Ahmad Samandari, Mario Marchese, Alessia Paglialonga, Fabio Patrone, Vittorio Rampa, Maurizio Mongelli

Institutions: University of Genoa, Institute of Electronics, Computer and Telecommunication Engineering, National Research Council

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4404740153

FWCI:

Cites: 25

Cited by:

Related to: 10