Navigating AI to unpack youth privacy concerns: An in-depth exploration and systematic review
AK Shrestha, A Barthwal, M Campbell, A Shouli… - arxiv preprint arxiv …, 2024 - arxiv.org
This systematic literature review investigates perceptions, concerns, and expectations of
young digital citizens regarding privacy in artificial intelligence (AI) systems, focusing on …
young digital citizens regarding privacy in artificial intelligence (AI) systems, focusing on …
Toward ethical AI: A qualitative analysis of stakeholder perspectives
As Artificial Intelligence (AI) systems become increasingly integrated into various aspects of
daily life, concerns about privacy and ethical accountability are gaining prominence. This …
daily life, concerns about privacy and ethical accountability are gaining prominence. This …
Blockchain and Trustworthy Reputation for Federated Learning: Opportunities and Challenges
In the domain of Collaborative Artificial Intelligence, Federated Learning (FL) is a technique
that enables multiple entities to collaboratively refine AI models while adhering to stringent …
that enables multiple entities to collaboratively refine AI models while adhering to stringent …
When Blockchain Meets Asynchronous Federated Learning
R **g, W Chen, X Wu, Z Wang, Z Tian… - … Conference on Intelligent …, 2024 - Springer
In the face of issues such as privacy leakage and malicious attacks, blockchain-based
asynchronous federated learning emerges as a promising solution, not only capable of …
asynchronous federated learning emerges as a promising solution, not only capable of …