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Found 3 papers, 1 papers with code
Addressing Membership Inference Attack in Federated Learning with Model Compression
In this paper, we show that the effectiveness of these attacks on the clients negatively correlates with the size of the client datasets and model complexity.
A Snapshot of the Frontiers of Client Selection in Federated Learning
Federated learning (FL) has been proposed as a privacy-preserving approach in distributed machine learning.
Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks
This paper proposes an interactive system for mobile devices controlled by hand gestures aimed at helping people with visual impairments.
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