FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning

FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning

Privacy-preserving methods and techniques aim to safeguard the privacy of individuals and groups while facilitating data sharing for specific purposes. Federated Learning (FL) is a machine learning approach that allows multiple devices or systems to collaboratively train a model without directly sha...

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Bibliographic Details
Main Authors: Maria Iqbal, Asadullah Tariq, Muhammad Adnan, Irfan Ud Din, Tariq Qayyum
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Federated learning
differential privacy
data privacy
privacy preserved
optimized differential privacy
Online Access:https://ieeexplore.ieee.org/document/10287349/

Internet

https://ieeexplore.ieee.org/document/10287349/

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