Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section
Volume 68 (2022): Issue 4 (December 2022)
Open Access
A Brief Overview of Federated Learning - A New Perspective on Data Privacy
Iuliana-Alexandra Lipovanu
Iuliana-Alexandra Lipovanu
“Gheorghe Asachi” Technical University of Iași, Faculty of Automatic Control and Computer Engineering
Iași, Romania
Search for this author on
Sciendo
|
Google Scholar
Lipovanu, Iuliana-Alexandra
,
Carlos Pascal
Carlos Pascal
“Gheorghe Asachi” Technical University of Iași, Faculty of Automatic Control and Computer Engineering
Iași, Romania
Search for this author on
Sciendo
|
Google Scholar
Pascal, Carlos
and
Constantin-Florin Căruntu
Constantin-Florin Căruntu
“Gheorghe Asachi” Technical University of Iași, Faculty of Automatic Control and Computer Engineering
Iași, Romania
Search for this author on
Sciendo
|
Google Scholar
Căruntu, Constantin-Florin
Feb 27, 2024
Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section
Volume 68 (2022): Issue 4 (December 2022)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Feb 27, 2024
Page range:
9 - 26
Received:
Feb 14, 2023
Accepted:
Apr 11, 2023
DOI:
https://doi.org/10.2478/bipie-2022-0019
Keywords
Privacy protection
,
Federated Averaging
,
Deep Learning
,
Collaborative Artificial Intelligence
,
TensorFlow.
© 2022 Iuliana-Alexandra Lipovanu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
