Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning

Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning

Federated Learning (FL) is a machine learning technique in which collaborative and distributed learning is performed, while the private data reside locally on the client. Rather than the data, only gradients are shared among all collaborative nodes with the help of a central server. To ensure the da...

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Bibliographic Details
Main Authors: Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Blockchain
data privacy
federated learning
gradient leakage
model privacy
Swarm Learning
Online Access:https://ieeexplore.ieee.org/document/10047894/

Internet

https://ieeexplore.ieee.org/document/10047894/

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