Crowdsourced federated learning architecture with personalized privacy preservation
Y Xu, X Qiu, F Zhang, J Hao - Intelligent and Converged …, 2024 - ieeexplore.ieee.org
In crowdsourced federated learning, differential privacy is commonly used to prevent the
aggregation server from recovering training data from the models uploaded by clients to …
aggregation server from recovering training data from the models uploaded by clients to …
[HTML][HTML] An Efficient Attribute-Based Participant Selecting Scheme with Blockchain for Federated Learning in Smart Cities
X Yin, H Qiu, X Wu, X Zhang - Computers, 2024 - mdpi.com
In smart cities, large amounts of multi-source data are generated all the time. A model
established via machine learning can mine information from these data and enable many …
established via machine learning can mine information from these data and enable many …
Global Model Privacy Protection Mechanism in Federated Learning
A Kumar, BJ Choi - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Data scarcity is a crucial concern in the traditional approach of training deep learning and
one of the bottlenecks that limit its growth. Recently, Federated Learning (FL) has become a …
one of the bottlenecks that limit its growth. Recently, Federated Learning (FL) has become a …