Blockchain-based federated learning system: A survey on design choices

YE Oktian, SG Lee - Sensors, 2023 - mdpi.com
The vanilla federated learning is made for a trusted environment, while in contrast, its actual
use cases require collaborations in an untrusted setting. For this reason, using blockchain …

[HTML][HTML] Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics

S Mohammadi, A Balador, S Sinaei… - Journal of Parallel and …, 2024 - Elsevier
Federated learning (FL) as a novel paradigm in Artificial Intelligence (AI), ensures enhanced
privacy by eliminating data centralization and brings learning directly to the edge of the …

Safeguarding Patient Data-Sharing: Blockchain-Enabled Federated Learning in Medical Diagnostics

R Myrzashova, SH Alsamhi, A Hawbani… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Medical healthcare centers are envisioned as a promising paradigm to handle vast data for
various disease diagnoses using artificial intelligence. Traditional Machine Learning …

PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network

MAP Putra, N Karna, RN Alief, A Zainudin… - IEEE …, 2024 - ieeexplore.ieee.org
This paper introduces PureFed, an innovative Federated Learning (FL) framework designed
for efficiency, collaboration, and trustworthiness. In the background of FL research, it was …

[PDF][PDF] Proof of Authority-based Federated Learning for Bearing Fault Detection in Smart Factory

MAP Putra, A Zainudin, RN Alief… - 한국통신학회 …, 2023 - journal-home.s3.ap-northeast-2 …
The dependability of Industrial Internet of Things (IIoT) systems necessitates a robust fault
detection mechanism that can be accomplished using Artificial Intelligence (AI). However …

[引用][C] Efficient Blockchain Decarbonization: A Hyperledger Besu Perspective on Emission Allowance Markets

GA Haryadi, RN Alief, JM Lee, DS Kim - 한국통신학회학술대회논문집, 2024 - dbpia.co.kr
In response to the urgent challenge of decarbonization and the intricate issues surrounding
Transparency and Accountability in emission allowance markets, this study introduces a …