Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review

Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review

Abstract Federated Learning (FL) is a promising form of distributed machine learning that preserves privacy by training models locally without sharing raw data. While FL ensures data privacy through collaborative learning, it faces several critical challenges. These include vulnerabilities to revers...

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Bibliographic Details
Main Authors: Menna Mamdouh Orabi, Osama Emam, Hanan Fahmy
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Journal of Big Data
Subjects:
Machine learning
Federated learning
Blockchain
Security
Online Access:https://doi.org/10.1186/s40537-025-01099-5
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https://doi.org/10.1186/s40537-025-01099-5

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