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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)
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" }