MS-FL: A Federated Learning Framework Based on Multiple Security Strategies

MS-FL: A Federated Learning Framework Based on Multiple Security Strategies

With the development of data science, AI and data transaction, an increasing number of users are utilizing multi-party data for federated machine learning to obtain their desired models. Therefore, scholars have proposed numerous federated learning frameworks to address practical issues. However, th...

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Bibliographic Details
Main Authors: Wenshao Yang, Pengfei Kang, Chao Wei
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Federated learning
privacy protection
poisoning attack
multiple security strategies
data transaction
Online Access:https://ieeexplore.ieee.org/document/10388342/

Internet

https://ieeexplore.ieee.org/document/10388342/

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