Blockchain-empowered trustworthy data sharing: Fundamentals, applications, and challenges
Various data-sharing platforms have emerged with the growing public demand for open data
and legislation mandating certain data to remain open. Most of these platforms remain …
and legislation mandating certain data to remain open. Most of these platforms remain …
An updated survey on the convergence of distributed ledger technology and artificial intelligence: Current state, major challenges and future direction
JS Bellagarda, AM Abu-Mahfouz - IEEE Access, 2022 - ieeexplore.ieee.org
In recent times, Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) have
become two of the most discussed sectors in Information Technology, with each having …
become two of the most discussed sectors in Information Technology, with each having …
[HTML][HTML] Survey of Artificial Intelligence Model Marketplace
The rapid advancement and widespread adoption of artificial intelligence (AI) across diverse
industries, including healthcare, finance, manufacturing, and retail, underscore the …
industries, including healthcare, finance, manufacturing, and retail, underscore the …
Blockchain and NFTs for trusted ownership, trading, and access of AI models
The demand for high-quality Artificial Intelligence (AI) models is ever-increasing in this
digital era. However, most of the existing methods leveraged for managing the ownership …
digital era. However, most of the existing methods leveraged for managing the ownership …
The road to trustworthy 6G: A survey on trust anchor technologies
While 5G networks are driving a growing number of use cases in the fields of iot and
industrial applications, the vision of the next generation of mobile communications systems …
industrial applications, the vision of the next generation of mobile communications systems …
Analysis of distributed ledger technologies for industrial manufacturing
In recent years, industrial manufacturing has undergone massive technological changes that
embrace digitalization and automation towards the vision of intelligent manufacturing plants …
embrace digitalization and automation towards the vision of intelligent manufacturing plants …
A contribution-based device selection scheme in federated learning
In a Federated Learning (FL) setup, a number of devices contribute to the training of a
common model. We present a method for selecting the devices that provide updates in order …
common model. We present a method for selecting the devices that provide updates in order …
Fedtoken: Tokenized incentives for data contribution in federated learning
Incentives that compensate for the involved costs in the decentralized training of a
Federated Learning (FL) model act as a key stimulus for clients' long-term participation …
Federated Learning (FL) model act as a key stimulus for clients' long-term participation …
An Adaptive Pricing Framework for Real-Time AI Model Service Exchange
J Gao, Z Wang, X Wei - IEEE Transactions on Network Science …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) model services offer remarkable efficiency and automation,
engaging customers across various tasks. However, not all AI consumers possess sufficient …
engaging customers across various tasks. However, not all AI consumers possess sufficient …
Bdsp: A fair blockchain-enabled framework for privacy-enhanced enterprise data sharing
Across industries, there is an ever-increasing rate of data sharing for collaboration and
innovation between organizations and their customers, partners, suppliers, and internal …
innovation between organizations and their customers, partners, suppliers, and internal …