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How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems

Year: 2023

Type: conference-paper

Source: IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN)

DOI: 10.1109/cain58948.2023.00023

Authors: Iva Krasteva, Boris Kraychev, Ensiye Kiyamousavi

Institutions: Big Data for Smart Society (GATE) Institute, Sofia University "St. Kliment Ohridski"

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: closed

Funders: Engineering and Physical Sciences Research Council, CHIST-ERA

Award: SAI: Social Explainable Artificial Intelligence

OpenAlex ID: W4383098152

FWCI: 0.221

Cites: 6

Cited by: 2

Related to: 10