A Framework to Design Efficent Blockchain-Based Decentralized Federated Learning Architectures

Distributed machine learning, and Decentralized Federated Learning in particular, is emerging as an effective solution to cope with the ever-increasing amount of data and the need to process it faster and more reliably. It enables machine learning models to be trained without centralizing user data,...

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Bibliographic Details
Main Authors: Yannis Formery, Leo Mendiboure, Jonathan Villain, Virginie Deniau, Christophe Gransart
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10738377/
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