PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:82413-82426
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Adi Paramartha Putra Made¹^ORCID,Bogi Aditya Karna Nyoman²^ORCID,Naufal Alief Revin³,Zainudin Ahmad⁴^ORCID,Kim Dong-Seong³^ORCID,Lee Jae-Min³^ORCID,Sampedro Gabriel Avelino⁵^ORCID

Affiliation:

1. Faculty of Information Technology and Design, Primakara University, Denpasar, Indonesia

2. School of Electrical Engineering, Telkom University, Bandung, Indonesia

3. Department of Electronic Engineering, Kumoh National Institute of Technology, Gumi, South Korea

4. Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea

5. School of Management and Information Technology, De La Salle-College of Saint Benilde, Manila, Philippines

Funder

Innovative Human Resource Development for Local Intellectualization program through the Institute of Institute for Information & Communication Technology Promotion

Ministry of Science and ICT, South Korea

Priority Research Centers Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10551805.pdf?arnumber=10551805

Reference27 articles.

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2. Data-centric artificial intelligence: A survey;Zha;arXiv:2303.10158,2023

3. Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models

4. A survey on dataset quality in machine learning

5. A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond