Work

Industrial Federated Learning – Requirements and System Design

Year: 2020

Type: conference-paper

Source: Communications in computer and information science

DOI: 10.1007/978-3-030-51999-5_4

Authors: Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte

Institutions: TU Wien, Siemens (Austria)

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W3024857034

FWCI: 1.6

Cites: 19

Cited by: 32

Related to: 10