Federated Learning Economics: Privacy vs Efficiency
An economic analysis of federated learning implementations across enterprise AI projects, examining computational overhead, communication costs, regulatory compliance value, and decision frameworks for choosing between centralized and federated approaches.
Authors
- Oleh Ivchenko (ORCID: https://orcid.org/0000-0002-9540-1637)
Institutions
- Odessa National Polytechnic University (UA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-16
- DOI
- https://doi.org/10.5281/zenodo.18662973
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.00