A Trusted Federated Learning Method Based on Consortium Blockchain
Federated learning (FL) has gained significant attention in distributed machine learning due to its ability to protect data privacy while enabling model training across decentralized data sources. However, traditional FL methods face challenges in ensuring trust, security, and efficiency, particular...
Saved in:
Main Authors: | Xiaojun Yin, Xijun Wu, Xinming Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/16/1/14 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Blockchain-Based Protocol for Fair Delivery for Receipts
by: M. Francisca Hinarejos, et al.
Published: (2024-12-01) -
Exploiting Blockchain Technology for Enhancing Digital Twins’ Security and Transparency
by: Alessio Ferone, et al.
Published: (2025-01-01) -
Blockchain enabled traceability in the jewel supply chain
by: Aman Patel, et al.
Published: (2025-01-01) -
Design of knowledge transaction protection mechanism in the open innovation community based on blockchain technology
by: Dongshan Yang, et al.
Published: (2025-03-01) -
Integrated Dairy Production and Cattle Healthcare Management Using Blockchain NFTs and Smart Contracts
by: Saravanan Krishnan, et al.
Published: (2025-01-01)