Enhancing privacy via hierarchical federated learning

A Wainakh, AS Guinea, T Grube… - 2020 IEEE European …, 2020 - ieeexplore.ieee.org
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 …

[PDF][PDF] Mitigating Privacy Concerns by Developing Trust-related Software Features for a Hybrid Social Media Application.

A Borchert, A Wainakh, N Krämer, M Mühlhäuser… - …, 2021 - pdfs.semanticscholar.org
As the past has shown, many providers of social media services consistently demonstrate an
insufficient commitment to user privacy. This has led to an increase in users' privacy …

Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks

A Wainakh, A Strassheim, T Grube, J Daubert… - Proceedings of the 16th …, 2021 - dl.acm.org
Decentralized online social networks enhance users' privacy by empowering them to control
their data. However, these networks mostly lack for practical solutions for building …

Privacy-Preserving Techniques for Online Social Networks Data

Y Belfaik, A Zineddine, Y Sadqi, S Safi - Risk Assessment and …, 2024 - igi-global.com
Online social networks (OSNs) are platforms on the web that have seen significant growth.
They allow people to connect, interact, and share information with others over the internet …

[PDF][PDF] On Privacy-Enhanced Distributed Analytics in Online Social Networks

A Wainakh - 2022 - core.ac.uk
More than half of the world's population benefits from Online Social Networks'(OSN s)
services. A considerable part of these services is mainly based on applying analytics on …

The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media

A Borchert, A Wainakh, N Krämer… - … on Evaluation of Novel …, 2021 - Springer
Users generate a massive amount of personal, partly sensitive data in online social media.
In the past, data breaches made evident that service providers of social media lack in …

The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media

M Heisel - Evaluation of Novel Approaches to Software …, 2022 - books.google.com
Users generate a massive amount of personal, partly sensitive data in online social media.
In the past, data breaches made evident that service providers of social media lack in …