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 …

Toward ethical AI: A qualitative analysis of stakeholder perspectives

AK Shrestha, S Joshi - arxiv preprint arxiv:2501.13320, 2025 - arxiv.org
As Artificial Intelligence (AI) systems become increasingly integrated into various aspects of
daily life, concerns about privacy and ethical accountability are gaining prominence. This …

Blockchain and Trustworthy Reputation for Federated Learning: Opportunities and Challenges

F Javed, J Mangues-Bafalluy… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
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 …

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 …