IEEE

Using Highly Compressed Gradients in Federated Learning for Data Reconstruction Attacks

Abstract: Federated learning (FL) preserves data privacy by exchanging gradients instead of local training data. However, these private data can still be reconstructed from the exchanged gradients.
IEEE

On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems

Abstract: Federated learning (FL) enables clients to collabo-ratively learn models without revealing their local data. However, the shared model updates still reveal information about the data set, as ...
GitHub

A Collection of Beautiful Gradients Generated by AI.

All gradients can be downloaded and used for free Commercial and non-commercial purposes No permission needed (though attribution is appreciated.) ...
C&EN

Protocell Survival Networks in Spatially Modulated Chemical Gradients

Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Department of Biomedical Engineering, ...