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Enhancing Privacy via Hierarchical Federated Learning

Wainakh, Aidmar and Sanchez Guinea, Alejandro and Grube, Tim and Mühlhäuser, Max (2020):
Enhancing Privacy via Hierarchical Federated Learning.
In: Proceedings : 5th IEEE European Symposium on Security and Privacy Workshops, pp. 344-347,
IEEE, 6th International Workshop on Privacy Engineering (IWPE'20), Virtual Conference, 07.-11.09.2020, ISBN 978-1-7281-8597-2,
DOI: 10.1109/EuroSPW51379.2020.00053,
[Conference or Workshop Item]

Abstract

Federated learning suffers from several privacy-related issues that expose the participants to various threats. A number of these issues are aggravated by the centralized architecture of federated learning. In this paper, we discuss applying federated learning on a hierarchical architecture as a potential solution. We introduce the opportunities for more flexible decentralized control over the training process and its impact on the participants’ privacy. Furthermore, we investigate possibilities to enhance the efficiency and effectiveness of defense and verification methods.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Wainakh, Aidmar and Sanchez Guinea, Alejandro and Grube, Tim and Mühlhäuser, Max
Title: Enhancing Privacy via Hierarchical Federated Learning
Language: English
Abstract:

Federated learning suffers from several privacy-related issues that expose the participants to various threats. A number of these issues are aggravated by the centralized architecture of federated learning. In this paper, we discuss applying federated learning on a hierarchical architecture as a potential solution. We introduce the opportunities for more flexible decentralized control over the training process and its impact on the participants’ privacy. Furthermore, we investigate possibilities to enhance the efficiency and effectiveness of defense and verification methods.

Title of Book: Proceedings : 5th IEEE European Symposium on Security and Privacy Workshops
Publisher: IEEE
ISBN: 978-1-7281-8597-2
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Event Title: 6th International Workshop on Privacy Engineering (IWPE'20)
Event Location: Virtual Conference
Event Dates: 07.-11.09.2020
Date Deposited: 09 Apr 2020 09:35
DOI: 10.1109/EuroSPW51379.2020.00053
Additional Information:

Workshop was part of the 5th IEEE EuroSPW 2020

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