Publication detail

An Android Federated Learning Framework for Emergency Management Applications

MICHÁLEK, J. OUJEZSKÝ, V. ŠKORPIL, V.

Original Title

An Android Federated Learning Framework for Emergency Management Applications

Type

conference paper

Language

English

Original Abstract

In this paper, we present an Android federated learning framework designed specifically for emergency management applications. Our focus is on addressing the challenges related to communication in such scenarios. To overcome the limitations of centralized server architectures, we propose a novel communication protocol that enables the framework to efficiently collaborate with multiple centralized servers. This protocol facilitates effective knowledge sharing and model training while ensuring data privacy and security. By leveraging this protocol, our framework enhances the performance and robustness of critical infrastructure systems on the Android platform, enabling real-time operational scenarios. Through this research, we contribute to the advancement of emergency management applications by providing a comprehensive solution that optimizes communication and enables seamless collaboration with multiple centralized servers.

Keywords

Android; communication protocol; federated learning; framework; machine learning

Authors

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

Released

30. 10. 2023

Publisher

IEEE

ISBN

979-8-3503-9328-6

Book

2023 15th 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

97

Pages to

101

Pages count

5

URL

BibTex

@inproceedings{BUT185682,
  author="Jakub {Michálek} and Václav {Oujezský} and Vladislav {Škorpil}",
  title="An Android Federated Learning Framework for Emergency Management Applications",
  booktitle="2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  year="2023",
  journal="International Congress on Ultra Modern Telecommunications and Control Systems and Workshops",
  pages="97--101",
  publisher="IEEE",
  doi="10.1109/ICUMT61075.2023.10333300",
  isbn="979-8-3503-9328-6",
  issn="2157-023X",
  url="https://ieeexplore.ieee.org/document/10333300"
}