Publication detail

Federated Learning on Android - Highlights from Recent Developments

MICHÁLEK, J. ŠKORPIL, V. OUJEZSKÝ, V.

Original Title

Federated Learning on Android - Highlights from Recent Developments

Type

conference paper

Language

English

Original Abstract

This article provides recent development highlights of federated learning and its use on Android-based devices, including a discussion related to frameworks used to allow its application. Some already working examples using federated learning for different data models are provided, and a discussion of its advantages.

Keywords

Android; federated learning; framework; machine learning

Authors

MICHÁLEK, J.; ŠKORPIL, V.; OUJEZSKÝ, V.

Released

11. 10. 2022

Publisher

IEEE Computer Society

Location

Valencia, Spain

ISBN

979-8-3503-9866-3

Book

2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

ISBN

2157-023X

Periodical

International Congress on Ultra Modern Telecommunications and Control Systems and Workshops

State

unknown

Pages from

27

Pages to

30

Pages count

4

URL

https://ieeexplore.ieee.org/document/9943382

BibTex

@inproceedings{BUT179516,
  author="Jakub {Michálek} and Vladislav {Škorpil} and Václav {Oujezský}",
  title="Federated Learning on Android - Highlights from Recent Developments",
  booktitle="2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  year="2022",
  journal="International Congress on Ultra Modern Telecommunications and Control Systems and Workshops",
  pages="27--30",
  publisher="IEEE Computer Society",
  address="Valencia, Spain",
  doi="10.1109/ICUMT57764.2022.9943382",
  isbn="979-8-3503-9866-3",
  issn="2157-023X",
  url="https://ieeexplore.ieee.org/document/9943382"
}