Ethical considerations and legal issues relating to federated learning
Publication Type
Book Chapter
Publication Date
2-2024
Abstract
In this chapter, we will explore the global trends and general principles relating to the ethics of federated learning systems. We will also examine the main legal issues relating to federated learning, in particular, the areas relating to the transparency and fairness of AI systems, privacy and personal data protection, intellectual property, legal ownership and rights to the system and output and governance concerns.
Discipline
Intellectual Property Law | Science and Technology Law
Research Areas
Innovation, Technology and the Law
Publication
Federated learning: Theory and practice
Editor
NGUYEN, Lam M.; HOANG, Trong Nghia; CHEN, Pin-Yu
First Page
369
Last Page
391
Identifier
10.1016/B978-0-44-319037-7.00032-6
Publisher
Academic Press
Citation
1
Additional URL
https://doi.org/10.1016/B978-0-44-319037-7.00032-6