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20202022
most citedDifferentially Private Federated Learning for Cancer Prediction

16 citations · 21 across the 3 of their papers we have counts for

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cs.CV2020

Siloed Federated Learning for Multi-Centric Histopathology Datasets

Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier +1

While federated learning is a promising approach for training deep learning models over distributed sensitive datasets, it presents new challenges for machine learning, especially…