Blockchain-empowered federated learning: Challenges, solutions, and future directions

J Zhu, J Cao, D Saxena, S Jiang, H Ferradi - ACM Computing Surveys, 2023 - dl.acm.org
Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

Federated learning meets blockchain in edge computing: Opportunities and challenges

DC Nguyen, M Ding, QV Pham… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

[HTML][HTML] A survey on blockchain technology and its security

H Guo, X Yu - Blockchain: research and applications, 2022 - Elsevier
Blockchain is a technology that has desirable features of decentralization, autonomy,
integrity, immutability, verification, fault-tolerance, anonymity, auditability, and transparency …

Systematic review of security vulnerabilities in ethereum blockchain smart contract

SS Kushwaha, S Joshi, D Singh, M Kaur… - IEEE Access, 2022 - ieeexplore.ieee.org
Blockchain is a revolutionary technology that enables users to communicate in a trust-less
manner. It revolutionizes the modes of business between organizations without the need for …

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

G Kou, Ö Olgu Akdeniz, H Dinçer, S Yüksel - Financial innovation, 2021 - Springer
Financial technology (Fintech) makes a significant contribution to the financial system by
reducing costs, providing higher quality services and increasing customer satisfaction …

A survey on blockchain technology: Evolution, architecture and security

MNM Bhutta, AA Khwaja, A Nadeem, HF Ahmad… - Ieee …, 2021 - ieeexplore.ieee.org
Blockchain is a revolutionary technology that is making a great impact on modern society
due to its transparency, decentralization, and security properties. Blockchain gained …

A survey on blockchain for big data: Approaches, opportunities, and future directions

N Deepa, QV Pham, DC Nguyen… - Future Generation …, 2022 - Elsevier
Big data has generated strong interest in various scientific and engineering domains over
the last few years. Despite many advantages and applications, there are many challenges in …

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

N Rodríguez-Barroso, D Jiménez-López, MV Luzón… - Information …, 2023 - Elsevier
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …

Blockchain-based authentication and authorization for smart city applications

C Esposito, M Ficco, BB Gupta - Information Processing & Management, 2021 - Elsevier
The platforms supporting the smart city applications are rarely implemented from scratch by
a municipality and/or totally owned by a single company, but are more typically realized by …

Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

S Singh, PK Sharma, B Yoon, M Shojafar… - Sustainable cities and …, 2020 - Elsevier
In the digital era, the smart city can become an intelligent society by utilizing advances in
emerging technologies. Specifically, the rapid adoption of blockchain technology has led a …